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We are searching for a Senior Machine Learning Engineer to lead the architecture and development of Nitra's next-generation AI and data platform. This role is pivotal in delivering intelligent solutions for both healthcare and fintech sectors. You will be at the forefront of applied AI and platform engineering, designing and deploying systems that drive internal workflows as well as customer-facing applications. Your contributions will directly impact areas such as revenue cycle management, care coordination, and voice AI integration.
About the job
Nitra creates AI-powered technology designed for healthcare professionals. The company’s mission centers on giving clinicians more time for patients by simplifying their daily work through practical, intelligent tools.
Growth at Nitra moves quickly. The company is approaching unicorn valuation and aims to carve out a new category within healthcare technology. The culture values urgency, ambition, and personal ownership. Those who thrive on routine may not find the right match here, but those eager to influence the future of healthcare will encounter meaningful challenges.
Nitra’s founders have a track record of building successful companies. The current team includes talent from Microsoft, Meta, and PayPal. The company is well-funded by top investors and benefits from the guidance of respected advisors.
About Nitra
Nitra is committed to creating a more efficient healthcare system through cutting-edge technology. Our team, composed of experts from leading tech companies and backed by prominent VCs, is dedicated to making a significant impact in the healthcare industry.
Nitra creates AI-powered technology designed for healthcare professionals. The company’s mission centers on giving clinicians more time for patients by simplifying their daily work through practical, intelligent tools. Growth at Nitra moves quickly. The company is approaching unicorn valuation and aims to carve out a new category within healthcare technology. The culture values urgency, ambition, and personal ownership. Those who thrive on routine may not find the right match here, but those eager to influence the future of healthcare will encounter meaningful challenges. Nitra’s founders have a track record of building successful companies. The current team includes talent from Microsoft, Meta, and PayPal. The company is well-funded by top investors and benefits from the guidance of respected advisors.
About Us: At Nitra, we're dedicated to revolutionizing the healthcare sector by developing innovative technology solutions that enhance efficiency. Our mission is to empower healthcare professionals with a comprehensive suite of fintech and software tools, allowing them to manage their practices effectively and focus on what truly matters.We thrive on urgency, intensity, and ambition, maintaining high standards because the potential for impact is substantial. We expect every team member to exhibit excellence, ownership, and intellectual rigor. Our pace is brisk, our decisions bold, and we are committed to delivering tangible results. Yet, we believe that great companies are founded on trust and respect, where every voice is heard, and every contribution is valued. Together, we celebrate our victories.As we rapidly scale, we are on a clear path to becoming a unicorn this year and beyond. Our growth is a product of disciplined execution, unwavering focus, and a team that refuses to compromise. We are crafting a category-defining enterprise, seeking individuals eager to engage in the most significant work of their careers.If you seek comfort, this is not your place.If you desire impact, ownership, and the opportunity to contribute to a generational fintech company, welcome aboard.Founded by unicorn entrepreneurs with a track record of scaling to thousands of customers and achieving $1B+ public exits, Nitra's team comprises seasoned professionals from top organizations including American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. We are backed by leading venture capitalists like Andreessen Horowitz and NEA, along with a distinguished team of advisors including co-founders of Square and Xendit, executives from Intuit, former governors, White House senior staffers, and a co-founder of CityMD.Nitra embraces a hybrid work model, with team members working in the office four days a week and designating Wednesdays as a remote workday.
About Us: At Nitra, we are dedicated to revolutionizing the healthcare landscape through innovative technology. Our mission is to create a more efficient healthcare system by providing a comprehensive suite of fintech and software solutions designed to empower physicians in managing their practices effectively, allowing them to focus on what truly matters.We thrive in a fast-paced environment fueled by urgency, ambition, and a relentless pursuit of excellence. Our high standards are driven by the enormous potential we see ahead. We expect every team member to take ownership, demonstrate intellectual rigor, and deliver outstanding results while fostering an atmosphere of trust and respect where every voice is valued. Together, we celebrate our victories.As we rapidly scale, we are on a clear path to achieving unicorn status this year and beyond. Our growth is deliberate, stemming from disciplined execution and an unwavering focus on our goals. We are crafting a category-defining company, and we seek individuals who are eager to engage in the most meaningful work of their careers.If you are looking for comfort, this may not be the place for you. However, if you desire impact, ownership, and the opportunity to contribute to a generational fintech company, we welcome you.Nitra was founded by seasoned entrepreneurs who have successfully scaled businesses to thousands of clients and led public offerings exceeding $1 billion. Our ambitious team includes experts from top firms such as American Express, Citi, PayPal, and more, supported by leading venture capitalists and a distinguished advisory board.
About Us:At Nitra, our mission is to revolutionize healthcare by creating a more efficient system through innovative technology. We strive to offer a comprehensive ecosystem of fintech and software solutions that empower doctors to manage their practices effectively, allowing them to focus on what truly matters.We are driven by urgency, intensity, and ambition. Our high standards reflect the significant opportunities ahead. We seek excellence, ownership, and intellectual rigor from every team member. Our pace is rapid, our decisions are bold, and we are accountable for results. We believe that successful companies are built on trust and respect, where every voice and contribution is valued. Together, we celebrate our wins.As we rapidly scale and aim to achieve a unicorn status this year, our growth is intentional, stemming from disciplined execution and a team that refuses to settle for the ordinary. We are crafting a category-defining company and invite those eager to do the most impactful work of their careers to join us.If you seek comfort, this may not be the right fit.If you desire impact, ownership, and the chance to help shape a generational fintech company, we welcome you.Founded by unicorn entrepreneurs with a history of scaling to thousands of customers and achieving $1B+ public offerings, our ambitious team hails from prestigious companies such as American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. We are backed by top-tier VCs like Andreessen Horowitz and NEA, along with an advisory group that includes co-founders of Square and Xendit, former governors, White House senior staffers, and a co-founder of CityMD.Nitra supports a hybrid work policy, with employees working in the office four days a week and designating Wednesdays as remote work days.
About Us: At Nitra, we are dedicated to revolutionizing the healthcare system through innovative technology. Our mission is to offer a comprehensive ecosystem of fintech and software solutions that empower healthcare professionals to manage their practices efficiently, allowing them to concentrate on what truly matters. We operate with a strong sense of urgency, intensity, and ambition. The stakes are high, and the potential is vast. We demand excellence, ownership, and intellectual rigor from every team member. Our pace is swift, decisions are bold, and accountability is paramount. We believe that trust and respect are the foundation of great companies, where every voice is valued, and every contribution is significant. Success is a collective achievement. Our rapid scaling is intentional and strategically driven, positioning us on a clear path to becoming a unicorn this year and beyond. This remarkable growth stems from disciplined execution, unwavering focus, and a team that is resolute in not settling for less. We are crafting a category-defining organization and are on the lookout for individuals eager to undertake the most impactful work of their careers. If you thrive in comfort, this may not be the right environment for you.If you seek to make a difference, take ownership, and contribute to the creation of a transformative fintech enterprise, we invite you to join us. Founded by visionary entrepreneurs who have successfully scaled businesses to thousands of customers and achieved exits exceeding $1B, our team comprises ambitious professionals from American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. We are supported by leading venture capitalists like Andreessen Horowitz and NEA, alongside a panel of expert advisors including co-founders of Square and Xendit, executives from Intuit, former governors, White House senior staffers, and co-founder of CityMD. Nitra embraces a hybrid work policy, with team members working from the office four days a week and enjoying a dedicated work-from-home day on Wednesdays.
About Us: At Nitra, our mission is to revolutionize the healthcare landscape through innovative technology. We provide a suite of fintech and software solutions designed to empower doctors in managing their practices more effectively, allowing them to focus on what truly matters.We operate with a sense of urgency and ambition, setting high standards because the potential is immense. Excellence, ownership, and intellectual rigor are expected from every team member. We thrive on making swift, bold decisions while holding ourselves accountable for our results. We believe that great companies are built on trust and respect, where every voice is valued, and every contribution is acknowledged. Our victories are collective.As we rapidly scale, we are on a clear path to becoming a unicorn this year and beyond. Our growth stems from disciplined execution and an unyielding focus, coupled with a team that refuses to settle for less. We are creating a category-defining company and seek individuals eager to engage in meaningful work.If you seek comfort, this is not your place.If you desire impact, ownership, and the opportunity to contribute to a transformative fintech company, welcome aboard.Founded by visionary entrepreneurs with a track record of scaling companies to thousands of customers and achieving over $1B in public exits, our team includes seasoned professionals from American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. We are supported by premier VCs such as Andreessen Horowitz and NEA, and advised by industry leaders including the co-founders of Square and Xendit, executives from Intuit, former governors, and senior White House staff.Nitra embraces a hybrid work policy, with team members in the office four days a week and Wednesdays designated as remote workdays.
nitra seeks a Customer Success Manager in New York to support clients and ensure they benefit fully from the company’s services. This position works closely with a cross-functional team and plays a key part in shaping a positive experience for customers. Role overview The Customer Success Manager focuses on building strong relationships with clients. By understanding their needs and goals, this role helps guide customers through their journey with nitra and supports their ongoing success. Collaboration Working with colleagues from different teams, the Customer Success Manager addresses client questions, solves issues, and helps improve the overall customer experience.
About Us:Nitra is on a mission to revolutionize the healthcare system through innovative technology. Our vision is to create a comprehensive ecosystem of fintech and software solutions that empower healthcare professionals to optimize their practices, allowing them to devote more time to what truly matters. Our environment is characterized by urgency, ambition, and a commitment to excellence. We set high standards because the potential for impact is immense. We value ownership, intellectual rigor, and accountability among our team members. We believe that successful organizations are built on a foundation of trust and respect, where every voice is heard and every contribution is valued. When we succeed, we succeed together. Nitra is experiencing rapid growth and is on a clear path to becoming a unicorn in the near future. Our success stems from disciplined execution and an unwavering focus on our goals. We are building a category-defining company and seek individuals eager to engage in work that is truly meaningful. If you're seeking comfort, this is not the place for you. If you're looking for impact, ownership, and the opportunity to contribute to a groundbreaking fintech company, we welcome you. Nitra was founded by successful entrepreneurs who have scaled businesses to thousands of clients and achieved public offerings exceeding $1 billion. Our team comprises experienced professionals from renowned organizations like American Express, Citi, PayPal, and more. We are supported by leading venture capitalists and a network of advisors, including industry pioneers. We embrace a hybrid work model, with team members working from the office four days a week and remotely on Wednesdays.
About Us: At Nitra, we are on a mission to revolutionize the healthcare system through innovative technology. Our vision is to create an integrated ecosystem of fintech and software solutions that empower healthcare professionals to efficiently manage their practices, allowing them to concentrate on what truly matters.We operate with passion, speed, and a commitment to excellence. We have set high standards because we recognize the vast opportunities ahead. We value ownership, intellectual rigor, and excellence from every team member. Our culture thrives on trust and respect where every contribution is acknowledged, and we celebrate our collective achievements.As we rapidly scale towards becoming a unicorn this year and beyond, our growth is intentional, driven by disciplined execution and a steadfast focus. We are crafting a category-defining company and seek individuals eager to make a significant impact in their careers.If you’re looking for comfort, this may not be your ideal environment. However, if you are motivated by impact, ownership, and the opportunity to help shape a generational fintech company, we welcome you.Nitra was founded by experienced entrepreneurs who have successfully scaled businesses and achieved exits exceeding $1B. Our team comprises talented professionals from leading companies like American Express, Citi, PayPal, and Meta, and is backed by top-tier venture capitalists such as Andreessen Horowitz and NEA, along with advice from prominent industry experts.We embrace a hybrid work model, with team members collaborating in the office four days a week, while Wednesdays are reserved for remote work.
Role overview Peloton Interactive, Inc. seeks a Senior Machine Learning Engineer based in New York. This position centers on building and improving machine learning algorithms that drive the evolution of Peloton’s fitness technology. The team’s efforts support new AI-powered features and enhance the way users engage with Peloton’s products. What you will do Design, develop, and deploy machine learning models for Peloton’s platform Optimize algorithms to improve user experience and increase engagement Work closely with engineers and product teams to deliver AI-driven features Impact This role plays a part in making fitness more accessible and enjoyable for Peloton’s community. The work directly influences how members experience workouts and interact with content on the platform.
Full-time|$120K/yr - $120K/yr|On-site|New York, United States
About UsPhysicsX is an innovative deep-tech firm rooted in numerical physics and Formula One, committed to propelling hardware advancements at software pace.We are developing an AI-driven simulation software suite for engineering and manufacturing across cutting-edge industries. Our technology facilitates high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, unlocking unprecedented levels of optimization and automation in design, manufacturing, and operations. This empowers engineers to expand the limits of what’s possible. Our clientele includes top pioneers in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Note: We are actively hiring for various roles; please apply only for the position that aligns best with your expertise and career aspirations.Who We’re Looking ForAs a Senior Machine Learning Engineer in Delivery, you are a seasoned problem solver and technical leader focused on generating impactful solutions. You possess the ability to grasp complex engineering concepts across diverse industries, spearhead technical initiatives, and work directly with clients—often collaborating on-site—to integrate cutting-edge AI models into practical tools.You have successfully delivered ML systems end-to-end and at scale: designing, building, and testing reliable, scalable ML data pipelines; you are adept at exploring and manipulating 3D point-cloud and mesh data to facilitate geometry-aware modeling; you select optimal libraries, frameworks, and tools, making practical product decisions that pave the way for Delivery's success. Operating at the intersection of data science and software engineering, you transform R&D and project outputs into reusable libraries, tools, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial, non-research environment, you are prepared to not only execute but also lead and mentor others. You are passionate about taking ownership of intricate work streams and guiding teams towards success, while continuously enhancing the systems and solutions you engage with to meet the evolving needs of our clients.This RoleAs a Senior Machine Learning Engineer, you will collaborate closely with our Data Scientists, Simulation Engineers, and clients to comprehend and define the engineering and physics challenges we are addressing. You will engage with clients and leverage your influence to guide decisions around reliable deployment with tangible outcomes.You will:Own the deployment of...
Join Tagup, a pioneering defense technology company established at MIT, as we revolutionize logistics superiority through advanced AI solutions. Our mission is to deliver innovative technologies that tackle the most pressing challenges in high-stakes environments. This is your chance to contribute to critical national security efforts and support U.S. and allied forces in meaningful ways. Help us shape the future of defense logistics for a safer world.We are on the lookout for a skilled Machine Learning Engineer to bolster our Salt Lake City team, focusing on the development of next-generation AI-driven defense and aviation systems. In this role, you will transcend traditional model building by designing, deploying, and scaling AI solutions that are essential for mission-critical operations.This position offers a unique opportunity to work at the intersection of groundbreaking research and practical application, creating models and infrastructure that enhance reliability, efficiency, and performance.If you are passionate about overcoming complex technical challenges and wish to make a tangible impact on national security and aviation safety, we invite you to apply.
Full-time|$125K/yr - $150K/yr|On-site|New York City
About Us:At ClarityPay, we empower businesses and their customers by expertly addressing intricate credit challenges with agility, precision, and intelligence. Our blend of extensive experience and cutting-edge technology simplifies processes and consistently yields superior results.As a rapidly expanding fintech firm, we equip enterprise merchants with innovative pay-over-time solutions. From point-of-sale financing to "Buy Now, Pay Later" initiatives and integrated loyalty offers, we are crafting customizable credit tools that enable businesses to reach more customers.Our core values include teamwork, a clear sense of purpose, and a meticulous approach to data-driven decision-making. We prioritize speed and quality to provide an outstanding customer experience.Role Overview:ClarityPay is investing heavily in the development of machine learning products, algorithms, and platforms. We seek technically skilled engineers who are enthusiastic about tackling complex optimization issues related to customer complaints, collections, and offer optimization.This position is suited for an engineer who views the "collections process" as a Reinforcement Learning environment. You will delve deep into the problem space through thorough case reviews to uncover the "why" and "what," and formulate robust hypotheses to enhance outcomes. Transitioning from basic predictive models, you will craft transformative algorithmic solutions utilizing Bayesian Black Box optimization, Contextual Bandits, and Deep Q-Networks (DQN/DDQN).This problem space is primed for innovation, and your curiosity, motivation, and skills will dictate the extent of your impact. You will also have the chance to take on leadership roles, including technical mentorship and managing offshore engineering teams.Key Responsibilities:End-to-End Problem Solving: Take ownership of the entire solution lifecycle. Engage in comprehensive case reviews to develop hypotheses, design rigorous A/B tests for validation, and automate the implementation of successful strategies.Advanced Algorithmic Development: Create and deploy inferential solutions that optimize operational management. Implement and refine advanced methodologies such as Contextual Bandits, Deep Q-Networks (DQN), Double DQN, and Bayesian optimization to deduce causal effects and maximize long-term rewards.Engineering & Reliability: Construct the foundational data infrastructure. Develop robust data pipelines and integrate machine learning models into production-ready systems.
About Us: At Nitra, we are on a mission to revolutionize the healthcare system and develop innovative technologies that drive efficiency. Our aim is to create a comprehensive ecosystem of fintech and software solutions that empower healthcare professionals to manage their practices effectively, allowing them to focus on what truly matters.We value urgency, ambition, and intensity in our work culture. The standards are set high, reflecting the vast opportunities ahead. We expect our team members to demonstrate excellence, take ownership, and apply intellectual rigor in their roles. We prioritize speed, encourage bold decision-making, and uphold accountability for results. Trust and respect are the cornerstones of our company, where every voice is heard and every contribution is valued. When we succeed, we do so as a unified team.As we rapidly scale and aim to achieve unicorn status this year and beyond, our growth is a testament to our disciplined execution and unwavering focus. We are committed to building a company that defines its category, and we seek individuals eager to engage in the most impactful work of their careers.If you are searching for comfort, this may not be the right fit for you.However, if you desire to make an impact, embrace ownership, and contribute to building a fintech company that will shape the future, we welcome you.Nitra was founded by visionary entrepreneurs who have successfully scaled businesses to thousands of clients and achieved over $1 billion in public offerings. Our dynamic team includes experienced professionals from renowned organizations such as American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. We are supported by leading venture capitalists (including Andreessen Horowitz and NEA) and an esteemed group of advisors that features co-founders of Square and Xendit, executives from Intuit, former governors, and senior White House staffers.Nitra operates under a hybrid work model, requiring team members to be in the office four days a week, with Wednesdays designated as a work-from-home day.
Full-time|$145K/yr - $145K/yr|On-site|New York, New York
Join SeatGeek: Where Live Events Come to Life!At SeatGeek, we believe that live events are transformative experiences that bring people together. Our innovative technology and fan-centric approach are revolutionizing the ticketing industry.As a pioneering technology company, SeatGeek is on a mission to disrupt the $300 billion ticketing landscape. We have the vision, products, and team to enhance the experience for performers, venues, and fans while establishing a lasting consumer brand. Now, we’re looking for passionate individuals like you to join our journey.We’re seeking a Senior Machine Learning Engineer to join our R&D team, bringing your expertise to our dynamic projects.
Location: New York, NYStart date: ASAPLanguages: English (required)About the RoleJoin Pragmatike as we partner with a dynamic AI cybersecurity firm, recognized by top-tier investors and visionary AI leaders. This innovative company is dedicated to establishing robust security measures for the AI era, safeguarding enterprises from advanced threats, including deepfakes, smishing, and synthetic voice attacks.Following a successful Series B funding round with industry-leading AI and venture partners, the organization is poised for substantial growth. Trusted by major financial institutions, technology giants, and healthcare providers, they are rapidly scaling to meet the demands of a $200 billion market opportunity.We are seeking a Staff Machine Learning Engineer to architect and enhance the company’s machine learning capabilities from the ground up. This role is pivotal to our product vision and focuses on strategic ownership, infrastructure development, and comprehensive execution of machine learning across the organization.Currently, there is no dedicated machine learning infrastructure or team. You will lay the groundwork: identifying where machine learning can add product value, designing end-to-end production systems, and setting the technical roadmap for the evolution of machine learning within the company.This position is highly impactful and offers significant autonomy, ideal for candidates experienced in building production ML systems and ready to develop a robust ML function from inception to full-scale operation.What You'll DoDefine the company's machine learning strategy: identifying application areas across products, determining necessary infrastructure, and making informed build vs. buy decisions.Design and construct production ML systems from scratch, including data pipelines, model training workflows, evaluation frameworks, and inference serving.Establish a rigorous evaluation methodology to assess model quality, identify regressions, and support iterative improvements based on data.Oversee data strategy: define necessary data, structure labeling, establish feedback loops, and ensure models evolve continuously.Collaborate closely with product and backend engineers to integrate machine learning into customer-facing systems.Contribute production-quality code to the existing codebase and participate in architectural decision-making.In time, assist in recruiting, mentoring, and leading the ML team as the function grows.
Role overview physicsx is seeking a Machine Learning Engineer to join the team in New York. The position centers on designing machine learning models and working with large, complex data. These efforts help drive technology projects and process improvements throughout the company. What you will do Build and refine machine learning models for practical use cases Examine and interpret challenging datasets to extract insights Collaborate with colleagues from a range of disciplines to identify opportunities for machine learning solutions Contribute to technology initiatives and process optimization projects across the organization Location This role is based in New York, United States.
Join the Nexxen Team!At Nexxen, we are redefining the landscape of advertising through innovative, data-driven solutions. We empower advertisers, agencies, and publishers globally to leverage our cutting-edge technology, which includes a unified demand-side platform (DSP) and supply-side platform (SSP), all anchored by the Nexxen Data Platform.Why Choose Nexxen?As a member of our global team, you will play a pivotal role in transforming the advertising industry. Our culture is built on the 3Cs: Customer Centric, Curious Mindset, and Collaboration without Ego. We pride ourselves on fostering an environment where creativity and teamwork thrive.Your Safety is Our PriorityAt Nexxen, your well-being is paramount. We take the threat of online scams seriously and would never ask for payment or promote dubious job opportunities. Always verify the authenticity of any job posting or communication claiming to be from Nexxen by contacting us at infosec@nexxen.com.Your RoleAs a Senior Machine Learning Engineer on our Applied Data Science team, you will collaborate closely with data scientists to develop state-of-the-art infrastructure for real-time performance optimization and machine learning solutions. This is a hands-on position ideal for someone with a proactive and innovative approach to machine learning and data-driven algorithm development.Work EnvironmentOur team operates on a hybrid schedule, with three days in the office and the flexibility to work remotely for the remainder. We also welcome applicants with senior-level adtech vendor experience for fully remote opportunities.
Full-time|$140K/yr - $210K/yr|Hybrid|New York Office
About Treeswift:Facing challenges from severe storms, wildfires, and the demand for affordable energy solutions, Treeswift is dedicated to helping energy companies transform their field operations to tackle unprecedented growth and challenges. Our innovative sensors are deployed in the field, collecting extensive LiDAR and imagery data, which is then analyzed by our advanced AI models to provide actionable insights through our web platform. To date, our technology has empowered utilities to mitigate wildfire risks, streamline regulatory compliance, and accelerate recovery from severe weather events.Since launching our services to utilities in June 2024, we have partnered with three of the five largest utilities in the United States and are rapidly expanding our customer base. We are building a team of passionate experts with extensive backgrounds in robotics from prestigious institutions like Penn, Caltech, and CMU, along with experience in enterprise software development from companies such as Palantir, Stripe, and Oracle. Our mission is supported by leading investors, including Penny Pritzker’s Inspired Capital.Headquartered in lower Manhattan, Treeswift also maintains an office in Philadelphia, with team members located closer to customer sites in the Bay Area.About the Role:We are seeking a talented and driven Machine Learning Engineer to join our dynamic team. In this pivotal role, you will develop and implement cutting-edge machine learning solutions to advance our mission. The ideal candidate will have a strong background in training and deploying models within commercial environments. If you are an enthusiastic engineer with a desire to shape the future of distributed infrastructure management, we encourage you to apply.This position is full-time and offers a hybrid work arrangement, requiring in-person attendance two days a week at our NYC office.Key Responsibilities:Drive the development of innovative machine learning models. Your work will focus on enhancing the efficiency and accuracy of energy infrastructure fieldwork, specifically through the development of LiDAR point cloud models for landscape and infrastructure classification, as well as image models for assessing vegetation attributes such as species and health.
Join SoundCloud, a leading platform that enables artists and fans to connect and share their passion for music. Established in 2007, our artist-first approach empowers creators to develop their careers with innovative tools, services, and resources. With a catalog featuring over 400 million tracks from 40 million artists, the future of music is unfolding at SoundCloud. We are seeking a Senior Machine Learning Engineer to become an integral member of our Reco-Core team. This role presents an exciting opportunity to influence and steer the machine learning initiatives for one of SoundCloud's most essential product areas. You will collaborate closely with machine learning, data, and backend engineers to design, implement, and deploy models that facilitate music discovery for millions of users across our extensive audio catalog.Key Responsibilities:Create and deploy comprehensive machine learning solutions for recommendation systems, focusing on candidate generation, personalization, user and item modeling, and ranking algorithms.Oversee the entire machine learning lifecycle, from prototyping and evaluation to deploying scalable models and monitoring performance in production.Enhance and expand the foundation for ML engineering and MLOps within the Reco-Core team, establishing best practices and developing tools for rapid iteration.Collaborate with analysts and data scientists to convert research findings into production-ready systems.Work alongside fellow ML engineers to utilize shared infrastructure and collective expertise.
Nitra creates AI-powered technology designed for healthcare professionals. The company’s mission centers on giving clinicians more time for patients by simplifying their daily work through practical, intelligent tools. Growth at Nitra moves quickly. The company is approaching unicorn valuation and aims to carve out a new category within healthcare technology. The culture values urgency, ambition, and personal ownership. Those who thrive on routine may not find the right match here, but those eager to influence the future of healthcare will encounter meaningful challenges. Nitra’s founders have a track record of building successful companies. The current team includes talent from Microsoft, Meta, and PayPal. The company is well-funded by top investors and benefits from the guidance of respected advisors.
About Us: At Nitra, we're dedicated to revolutionizing the healthcare sector by developing innovative technology solutions that enhance efficiency. Our mission is to empower healthcare professionals with a comprehensive suite of fintech and software tools, allowing them to manage their practices effectively and focus on what truly matters.We thrive on urgency, intensity, and ambition, maintaining high standards because the potential for impact is substantial. We expect every team member to exhibit excellence, ownership, and intellectual rigor. Our pace is brisk, our decisions bold, and we are committed to delivering tangible results. Yet, we believe that great companies are founded on trust and respect, where every voice is heard, and every contribution is valued. Together, we celebrate our victories.As we rapidly scale, we are on a clear path to becoming a unicorn this year and beyond. Our growth is a product of disciplined execution, unwavering focus, and a team that refuses to compromise. We are crafting a category-defining enterprise, seeking individuals eager to engage in the most significant work of their careers.If you seek comfort, this is not your place.If you desire impact, ownership, and the opportunity to contribute to a generational fintech company, welcome aboard.Founded by unicorn entrepreneurs with a track record of scaling to thousands of customers and achieving $1B+ public exits, Nitra's team comprises seasoned professionals from top organizations including American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. We are backed by leading venture capitalists like Andreessen Horowitz and NEA, along with a distinguished team of advisors including co-founders of Square and Xendit, executives from Intuit, former governors, White House senior staffers, and a co-founder of CityMD.Nitra embraces a hybrid work model, with team members working in the office four days a week and designating Wednesdays as a remote workday.
About Us: At Nitra, we are dedicated to revolutionizing the healthcare landscape through innovative technology. Our mission is to create a more efficient healthcare system by providing a comprehensive suite of fintech and software solutions designed to empower physicians in managing their practices effectively, allowing them to focus on what truly matters.We thrive in a fast-paced environment fueled by urgency, ambition, and a relentless pursuit of excellence. Our high standards are driven by the enormous potential we see ahead. We expect every team member to take ownership, demonstrate intellectual rigor, and deliver outstanding results while fostering an atmosphere of trust and respect where every voice is valued. Together, we celebrate our victories.As we rapidly scale, we are on a clear path to achieving unicorn status this year and beyond. Our growth is deliberate, stemming from disciplined execution and an unwavering focus on our goals. We are crafting a category-defining company, and we seek individuals who are eager to engage in the most meaningful work of their careers.If you are looking for comfort, this may not be the place for you. However, if you desire impact, ownership, and the opportunity to contribute to a generational fintech company, we welcome you.Nitra was founded by seasoned entrepreneurs who have successfully scaled businesses to thousands of clients and led public offerings exceeding $1 billion. Our ambitious team includes experts from top firms such as American Express, Citi, PayPal, and more, supported by leading venture capitalists and a distinguished advisory board.
About Us:At Nitra, our mission is to revolutionize healthcare by creating a more efficient system through innovative technology. We strive to offer a comprehensive ecosystem of fintech and software solutions that empower doctors to manage their practices effectively, allowing them to focus on what truly matters.We are driven by urgency, intensity, and ambition. Our high standards reflect the significant opportunities ahead. We seek excellence, ownership, and intellectual rigor from every team member. Our pace is rapid, our decisions are bold, and we are accountable for results. We believe that successful companies are built on trust and respect, where every voice and contribution is valued. Together, we celebrate our wins.As we rapidly scale and aim to achieve a unicorn status this year, our growth is intentional, stemming from disciplined execution and a team that refuses to settle for the ordinary. We are crafting a category-defining company and invite those eager to do the most impactful work of their careers to join us.If you seek comfort, this may not be the right fit.If you desire impact, ownership, and the chance to help shape a generational fintech company, we welcome you.Founded by unicorn entrepreneurs with a history of scaling to thousands of customers and achieving $1B+ public offerings, our ambitious team hails from prestigious companies such as American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. We are backed by top-tier VCs like Andreessen Horowitz and NEA, along with an advisory group that includes co-founders of Square and Xendit, former governors, White House senior staffers, and a co-founder of CityMD.Nitra supports a hybrid work policy, with employees working in the office four days a week and designating Wednesdays as remote work days.
About Us: At Nitra, we are dedicated to revolutionizing the healthcare system through innovative technology. Our mission is to offer a comprehensive ecosystem of fintech and software solutions that empower healthcare professionals to manage their practices efficiently, allowing them to concentrate on what truly matters. We operate with a strong sense of urgency, intensity, and ambition. The stakes are high, and the potential is vast. We demand excellence, ownership, and intellectual rigor from every team member. Our pace is swift, decisions are bold, and accountability is paramount. We believe that trust and respect are the foundation of great companies, where every voice is valued, and every contribution is significant. Success is a collective achievement. Our rapid scaling is intentional and strategically driven, positioning us on a clear path to becoming a unicorn this year and beyond. This remarkable growth stems from disciplined execution, unwavering focus, and a team that is resolute in not settling for less. We are crafting a category-defining organization and are on the lookout for individuals eager to undertake the most impactful work of their careers. If you thrive in comfort, this may not be the right environment for you.If you seek to make a difference, take ownership, and contribute to the creation of a transformative fintech enterprise, we invite you to join us. Founded by visionary entrepreneurs who have successfully scaled businesses to thousands of customers and achieved exits exceeding $1B, our team comprises ambitious professionals from American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. We are supported by leading venture capitalists like Andreessen Horowitz and NEA, alongside a panel of expert advisors including co-founders of Square and Xendit, executives from Intuit, former governors, White House senior staffers, and co-founder of CityMD. Nitra embraces a hybrid work policy, with team members working from the office four days a week and enjoying a dedicated work-from-home day on Wednesdays.
About Us: At Nitra, our mission is to revolutionize the healthcare landscape through innovative technology. We provide a suite of fintech and software solutions designed to empower doctors in managing their practices more effectively, allowing them to focus on what truly matters.We operate with a sense of urgency and ambition, setting high standards because the potential is immense. Excellence, ownership, and intellectual rigor are expected from every team member. We thrive on making swift, bold decisions while holding ourselves accountable for our results. We believe that great companies are built on trust and respect, where every voice is valued, and every contribution is acknowledged. Our victories are collective.As we rapidly scale, we are on a clear path to becoming a unicorn this year and beyond. Our growth stems from disciplined execution and an unyielding focus, coupled with a team that refuses to settle for less. We are creating a category-defining company and seek individuals eager to engage in meaningful work.If you seek comfort, this is not your place.If you desire impact, ownership, and the opportunity to contribute to a transformative fintech company, welcome aboard.Founded by visionary entrepreneurs with a track record of scaling companies to thousands of customers and achieving over $1B in public exits, our team includes seasoned professionals from American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. We are supported by premier VCs such as Andreessen Horowitz and NEA, and advised by industry leaders including the co-founders of Square and Xendit, executives from Intuit, former governors, and senior White House staff.Nitra embraces a hybrid work policy, with team members in the office four days a week and Wednesdays designated as remote workdays.
nitra seeks a Customer Success Manager in New York to support clients and ensure they benefit fully from the company’s services. This position works closely with a cross-functional team and plays a key part in shaping a positive experience for customers. Role overview The Customer Success Manager focuses on building strong relationships with clients. By understanding their needs and goals, this role helps guide customers through their journey with nitra and supports their ongoing success. Collaboration Working with colleagues from different teams, the Customer Success Manager addresses client questions, solves issues, and helps improve the overall customer experience.
About Us:Nitra is on a mission to revolutionize the healthcare system through innovative technology. Our vision is to create a comprehensive ecosystem of fintech and software solutions that empower healthcare professionals to optimize their practices, allowing them to devote more time to what truly matters. Our environment is characterized by urgency, ambition, and a commitment to excellence. We set high standards because the potential for impact is immense. We value ownership, intellectual rigor, and accountability among our team members. We believe that successful organizations are built on a foundation of trust and respect, where every voice is heard and every contribution is valued. When we succeed, we succeed together. Nitra is experiencing rapid growth and is on a clear path to becoming a unicorn in the near future. Our success stems from disciplined execution and an unwavering focus on our goals. We are building a category-defining company and seek individuals eager to engage in work that is truly meaningful. If you're seeking comfort, this is not the place for you. If you're looking for impact, ownership, and the opportunity to contribute to a groundbreaking fintech company, we welcome you. Nitra was founded by successful entrepreneurs who have scaled businesses to thousands of clients and achieved public offerings exceeding $1 billion. Our team comprises experienced professionals from renowned organizations like American Express, Citi, PayPal, and more. We are supported by leading venture capitalists and a network of advisors, including industry pioneers. We embrace a hybrid work model, with team members working from the office four days a week and remotely on Wednesdays.
About Us: At Nitra, we are on a mission to revolutionize the healthcare system through innovative technology. Our vision is to create an integrated ecosystem of fintech and software solutions that empower healthcare professionals to efficiently manage their practices, allowing them to concentrate on what truly matters.We operate with passion, speed, and a commitment to excellence. We have set high standards because we recognize the vast opportunities ahead. We value ownership, intellectual rigor, and excellence from every team member. Our culture thrives on trust and respect where every contribution is acknowledged, and we celebrate our collective achievements.As we rapidly scale towards becoming a unicorn this year and beyond, our growth is intentional, driven by disciplined execution and a steadfast focus. We are crafting a category-defining company and seek individuals eager to make a significant impact in their careers.If you’re looking for comfort, this may not be your ideal environment. However, if you are motivated by impact, ownership, and the opportunity to help shape a generational fintech company, we welcome you.Nitra was founded by experienced entrepreneurs who have successfully scaled businesses and achieved exits exceeding $1B. Our team comprises talented professionals from leading companies like American Express, Citi, PayPal, and Meta, and is backed by top-tier venture capitalists such as Andreessen Horowitz and NEA, along with advice from prominent industry experts.We embrace a hybrid work model, with team members collaborating in the office four days a week, while Wednesdays are reserved for remote work.
Role overview Peloton Interactive, Inc. seeks a Senior Machine Learning Engineer based in New York. This position centers on building and improving machine learning algorithms that drive the evolution of Peloton’s fitness technology. The team’s efforts support new AI-powered features and enhance the way users engage with Peloton’s products. What you will do Design, develop, and deploy machine learning models for Peloton’s platform Optimize algorithms to improve user experience and increase engagement Work closely with engineers and product teams to deliver AI-driven features Impact This role plays a part in making fitness more accessible and enjoyable for Peloton’s community. The work directly influences how members experience workouts and interact with content on the platform.
Full-time|$120K/yr - $120K/yr|On-site|New York, United States
About UsPhysicsX is an innovative deep-tech firm rooted in numerical physics and Formula One, committed to propelling hardware advancements at software pace.We are developing an AI-driven simulation software suite for engineering and manufacturing across cutting-edge industries. Our technology facilitates high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, unlocking unprecedented levels of optimization and automation in design, manufacturing, and operations. This empowers engineers to expand the limits of what’s possible. Our clientele includes top pioneers in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Note: We are actively hiring for various roles; please apply only for the position that aligns best with your expertise and career aspirations.Who We’re Looking ForAs a Senior Machine Learning Engineer in Delivery, you are a seasoned problem solver and technical leader focused on generating impactful solutions. You possess the ability to grasp complex engineering concepts across diverse industries, spearhead technical initiatives, and work directly with clients—often collaborating on-site—to integrate cutting-edge AI models into practical tools.You have successfully delivered ML systems end-to-end and at scale: designing, building, and testing reliable, scalable ML data pipelines; you are adept at exploring and manipulating 3D point-cloud and mesh data to facilitate geometry-aware modeling; you select optimal libraries, frameworks, and tools, making practical product decisions that pave the way for Delivery's success. Operating at the intersection of data science and software engineering, you transform R&D and project outputs into reusable libraries, tools, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial, non-research environment, you are prepared to not only execute but also lead and mentor others. You are passionate about taking ownership of intricate work streams and guiding teams towards success, while continuously enhancing the systems and solutions you engage with to meet the evolving needs of our clients.This RoleAs a Senior Machine Learning Engineer, you will collaborate closely with our Data Scientists, Simulation Engineers, and clients to comprehend and define the engineering and physics challenges we are addressing. You will engage with clients and leverage your influence to guide decisions around reliable deployment with tangible outcomes.You will:Own the deployment of...
Join Tagup, a pioneering defense technology company established at MIT, as we revolutionize logistics superiority through advanced AI solutions. Our mission is to deliver innovative technologies that tackle the most pressing challenges in high-stakes environments. This is your chance to contribute to critical national security efforts and support U.S. and allied forces in meaningful ways. Help us shape the future of defense logistics for a safer world.We are on the lookout for a skilled Machine Learning Engineer to bolster our Salt Lake City team, focusing on the development of next-generation AI-driven defense and aviation systems. In this role, you will transcend traditional model building by designing, deploying, and scaling AI solutions that are essential for mission-critical operations.This position offers a unique opportunity to work at the intersection of groundbreaking research and practical application, creating models and infrastructure that enhance reliability, efficiency, and performance.If you are passionate about overcoming complex technical challenges and wish to make a tangible impact on national security and aviation safety, we invite you to apply.
Full-time|$125K/yr - $150K/yr|On-site|New York City
About Us:At ClarityPay, we empower businesses and their customers by expertly addressing intricate credit challenges with agility, precision, and intelligence. Our blend of extensive experience and cutting-edge technology simplifies processes and consistently yields superior results.As a rapidly expanding fintech firm, we equip enterprise merchants with innovative pay-over-time solutions. From point-of-sale financing to "Buy Now, Pay Later" initiatives and integrated loyalty offers, we are crafting customizable credit tools that enable businesses to reach more customers.Our core values include teamwork, a clear sense of purpose, and a meticulous approach to data-driven decision-making. We prioritize speed and quality to provide an outstanding customer experience.Role Overview:ClarityPay is investing heavily in the development of machine learning products, algorithms, and platforms. We seek technically skilled engineers who are enthusiastic about tackling complex optimization issues related to customer complaints, collections, and offer optimization.This position is suited for an engineer who views the "collections process" as a Reinforcement Learning environment. You will delve deep into the problem space through thorough case reviews to uncover the "why" and "what," and formulate robust hypotheses to enhance outcomes. Transitioning from basic predictive models, you will craft transformative algorithmic solutions utilizing Bayesian Black Box optimization, Contextual Bandits, and Deep Q-Networks (DQN/DDQN).This problem space is primed for innovation, and your curiosity, motivation, and skills will dictate the extent of your impact. You will also have the chance to take on leadership roles, including technical mentorship and managing offshore engineering teams.Key Responsibilities:End-to-End Problem Solving: Take ownership of the entire solution lifecycle. Engage in comprehensive case reviews to develop hypotheses, design rigorous A/B tests for validation, and automate the implementation of successful strategies.Advanced Algorithmic Development: Create and deploy inferential solutions that optimize operational management. Implement and refine advanced methodologies such as Contextual Bandits, Deep Q-Networks (DQN), Double DQN, and Bayesian optimization to deduce causal effects and maximize long-term rewards.Engineering & Reliability: Construct the foundational data infrastructure. Develop robust data pipelines and integrate machine learning models into production-ready systems.
About Us: At Nitra, we are on a mission to revolutionize the healthcare system and develop innovative technologies that drive efficiency. Our aim is to create a comprehensive ecosystem of fintech and software solutions that empower healthcare professionals to manage their practices effectively, allowing them to focus on what truly matters.We value urgency, ambition, and intensity in our work culture. The standards are set high, reflecting the vast opportunities ahead. We expect our team members to demonstrate excellence, take ownership, and apply intellectual rigor in their roles. We prioritize speed, encourage bold decision-making, and uphold accountability for results. Trust and respect are the cornerstones of our company, where every voice is heard and every contribution is valued. When we succeed, we do so as a unified team.As we rapidly scale and aim to achieve unicorn status this year and beyond, our growth is a testament to our disciplined execution and unwavering focus. We are committed to building a company that defines its category, and we seek individuals eager to engage in the most impactful work of their careers.If you are searching for comfort, this may not be the right fit for you.However, if you desire to make an impact, embrace ownership, and contribute to building a fintech company that will shape the future, we welcome you.Nitra was founded by visionary entrepreneurs who have successfully scaled businesses to thousands of clients and achieved over $1 billion in public offerings. Our dynamic team includes experienced professionals from renowned organizations such as American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. We are supported by leading venture capitalists (including Andreessen Horowitz and NEA) and an esteemed group of advisors that features co-founders of Square and Xendit, executives from Intuit, former governors, and senior White House staffers.Nitra operates under a hybrid work model, requiring team members to be in the office four days a week, with Wednesdays designated as a work-from-home day.
Full-time|$145K/yr - $145K/yr|On-site|New York, New York
Join SeatGeek: Where Live Events Come to Life!At SeatGeek, we believe that live events are transformative experiences that bring people together. Our innovative technology and fan-centric approach are revolutionizing the ticketing industry.As a pioneering technology company, SeatGeek is on a mission to disrupt the $300 billion ticketing landscape. We have the vision, products, and team to enhance the experience for performers, venues, and fans while establishing a lasting consumer brand. Now, we’re looking for passionate individuals like you to join our journey.We’re seeking a Senior Machine Learning Engineer to join our R&D team, bringing your expertise to our dynamic projects.
Location: New York, NYStart date: ASAPLanguages: English (required)About the RoleJoin Pragmatike as we partner with a dynamic AI cybersecurity firm, recognized by top-tier investors and visionary AI leaders. This innovative company is dedicated to establishing robust security measures for the AI era, safeguarding enterprises from advanced threats, including deepfakes, smishing, and synthetic voice attacks.Following a successful Series B funding round with industry-leading AI and venture partners, the organization is poised for substantial growth. Trusted by major financial institutions, technology giants, and healthcare providers, they are rapidly scaling to meet the demands of a $200 billion market opportunity.We are seeking a Staff Machine Learning Engineer to architect and enhance the company’s machine learning capabilities from the ground up. This role is pivotal to our product vision and focuses on strategic ownership, infrastructure development, and comprehensive execution of machine learning across the organization.Currently, there is no dedicated machine learning infrastructure or team. You will lay the groundwork: identifying where machine learning can add product value, designing end-to-end production systems, and setting the technical roadmap for the evolution of machine learning within the company.This position is highly impactful and offers significant autonomy, ideal for candidates experienced in building production ML systems and ready to develop a robust ML function from inception to full-scale operation.What You'll DoDefine the company's machine learning strategy: identifying application areas across products, determining necessary infrastructure, and making informed build vs. buy decisions.Design and construct production ML systems from scratch, including data pipelines, model training workflows, evaluation frameworks, and inference serving.Establish a rigorous evaluation methodology to assess model quality, identify regressions, and support iterative improvements based on data.Oversee data strategy: define necessary data, structure labeling, establish feedback loops, and ensure models evolve continuously.Collaborate closely with product and backend engineers to integrate machine learning into customer-facing systems.Contribute production-quality code to the existing codebase and participate in architectural decision-making.In time, assist in recruiting, mentoring, and leading the ML team as the function grows.
Role overview physicsx is seeking a Machine Learning Engineer to join the team in New York. The position centers on designing machine learning models and working with large, complex data. These efforts help drive technology projects and process improvements throughout the company. What you will do Build and refine machine learning models for practical use cases Examine and interpret challenging datasets to extract insights Collaborate with colleagues from a range of disciplines to identify opportunities for machine learning solutions Contribute to technology initiatives and process optimization projects across the organization Location This role is based in New York, United States.
Join the Nexxen Team!At Nexxen, we are redefining the landscape of advertising through innovative, data-driven solutions. We empower advertisers, agencies, and publishers globally to leverage our cutting-edge technology, which includes a unified demand-side platform (DSP) and supply-side platform (SSP), all anchored by the Nexxen Data Platform.Why Choose Nexxen?As a member of our global team, you will play a pivotal role in transforming the advertising industry. Our culture is built on the 3Cs: Customer Centric, Curious Mindset, and Collaboration without Ego. We pride ourselves on fostering an environment where creativity and teamwork thrive.Your Safety is Our PriorityAt Nexxen, your well-being is paramount. We take the threat of online scams seriously and would never ask for payment or promote dubious job opportunities. Always verify the authenticity of any job posting or communication claiming to be from Nexxen by contacting us at infosec@nexxen.com.Your RoleAs a Senior Machine Learning Engineer on our Applied Data Science team, you will collaborate closely with data scientists to develop state-of-the-art infrastructure for real-time performance optimization and machine learning solutions. This is a hands-on position ideal for someone with a proactive and innovative approach to machine learning and data-driven algorithm development.Work EnvironmentOur team operates on a hybrid schedule, with three days in the office and the flexibility to work remotely for the remainder. We also welcome applicants with senior-level adtech vendor experience for fully remote opportunities.
Full-time|$140K/yr - $210K/yr|Hybrid|New York Office
About Treeswift:Facing challenges from severe storms, wildfires, and the demand for affordable energy solutions, Treeswift is dedicated to helping energy companies transform their field operations to tackle unprecedented growth and challenges. Our innovative sensors are deployed in the field, collecting extensive LiDAR and imagery data, which is then analyzed by our advanced AI models to provide actionable insights through our web platform. To date, our technology has empowered utilities to mitigate wildfire risks, streamline regulatory compliance, and accelerate recovery from severe weather events.Since launching our services to utilities in June 2024, we have partnered with three of the five largest utilities in the United States and are rapidly expanding our customer base. We are building a team of passionate experts with extensive backgrounds in robotics from prestigious institutions like Penn, Caltech, and CMU, along with experience in enterprise software development from companies such as Palantir, Stripe, and Oracle. Our mission is supported by leading investors, including Penny Pritzker’s Inspired Capital.Headquartered in lower Manhattan, Treeswift also maintains an office in Philadelphia, with team members located closer to customer sites in the Bay Area.About the Role:We are seeking a talented and driven Machine Learning Engineer to join our dynamic team. In this pivotal role, you will develop and implement cutting-edge machine learning solutions to advance our mission. The ideal candidate will have a strong background in training and deploying models within commercial environments. If you are an enthusiastic engineer with a desire to shape the future of distributed infrastructure management, we encourage you to apply.This position is full-time and offers a hybrid work arrangement, requiring in-person attendance two days a week at our NYC office.Key Responsibilities:Drive the development of innovative machine learning models. Your work will focus on enhancing the efficiency and accuracy of energy infrastructure fieldwork, specifically through the development of LiDAR point cloud models for landscape and infrastructure classification, as well as image models for assessing vegetation attributes such as species and health.
Join SoundCloud, a leading platform that enables artists and fans to connect and share their passion for music. Established in 2007, our artist-first approach empowers creators to develop their careers with innovative tools, services, and resources. With a catalog featuring over 400 million tracks from 40 million artists, the future of music is unfolding at SoundCloud. We are seeking a Senior Machine Learning Engineer to become an integral member of our Reco-Core team. This role presents an exciting opportunity to influence and steer the machine learning initiatives for one of SoundCloud's most essential product areas. You will collaborate closely with machine learning, data, and backend engineers to design, implement, and deploy models that facilitate music discovery for millions of users across our extensive audio catalog.Key Responsibilities:Create and deploy comprehensive machine learning solutions for recommendation systems, focusing on candidate generation, personalization, user and item modeling, and ranking algorithms.Oversee the entire machine learning lifecycle, from prototyping and evaluation to deploying scalable models and monitoring performance in production.Enhance and expand the foundation for ML engineering and MLOps within the Reco-Core team, establishing best practices and developing tools for rapid iteration.Collaborate with analysts and data scientists to convert research findings into production-ready systems.Work alongside fellow ML engineers to utilize shared infrastructure and collective expertise.
Mar 31, 2026
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