Senior Machine Learning Engineer at Peloton | New York

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.

JOIN OUR TEAMBecome a pivotal member of Peloton’s Global Network Services team as a Senior Network Engineer, where enterprise networking meets dynamic media production. In this critical role, you will do more than maintain our systems; you will design and support the infrastructure that sustains our global operations—from corporate offices to our iconic New York Broadcast Studio.Your leadership will bridge our Global Cloud Engineering and Studio operations, deploying robust, scalable architectures that enhance the live content experience for millions of members. Your expertise in advanced routing, cloud infrastructure, and live streaming protocols will be crucial to delivering a seamless "Member First" experience in a fast-paced environment.YOUR CONTRIBUTIONSArchitect, implement, and optimize a complex global network utilizing Cisco, Meraki, Aruba, and Palo Alto Networks across both on-premise and AWS environments.Drive network analysis and troubleshooting for our NY studio, ensuring continuous uptime for live broadcasts, video streaming, and OTT content delivery.Oversee the full project lifecycle for network expansions, from creating standard operating procedures to providing Tier 3 support and disaster recovery solutions.Collaborate with InfoSec and DevOps to establish top-tier security protocols, manage SD-WAN solutions, and optimize Quality of Service for media-intensive traffic.Ensure operational excellence by maintaining network diagrams, scheduling necessary upgrades, and conducting thorough root cause analyses on global circuits.

About the Role Peloton Interactive, Inc. is committed to building a platform that matches the quality and ambition of its products. The platform supports rapid development and continuous learning, freeing engineers to deliver new features and improvements. With a strong focus on data, the team identifies where to invest effort for the greatest impact on members. The platform spans hardware, firmware, web, mobile, backend, data, messaging, content, streaming, and machine learning, serving millions of users worldwide. The Site Reliability Engineer (SRE) will join a growing team in New York, working closely with colleagues across disciplines. The main focus: support and develop a monitorable, reliable, and highly scalable deployment platform. The team manages thousands of nodes and pods across many deployments, addressing large-scale operational challenges every day. What You Will Do Implement rapid auto-scaling for live rides and major events Maintain infrastructure to deliver a seamless experience for members across tens of thousands of pods in multiple clusters Support a platform that enables machine learning and other complex workloads, helping developers move quickly Promote best practices for building and running reliable systems Act as a subject matter expert in observability and monitoring Advise on system design to meet reliability and capacity goals Automate processes, from infrastructure management to daily operations Lead post-mortem analysis after infrastructure incidents Support operational security and compliance efforts Identify and address potential security and reliability risks Work with tools such as Amazon Web Services, Chef, Python, Ubuntu, Nginx, Jenkins, and Terraform Location This role is based in New York, New York.

ABOUT THE ROLE At Peloton, our Learning and Development team is dedicated to fostering an environment where individuals can excel and find professional fulfillment. We create innovative learning experiences that drive personal growth and organizational success, empowering our team members to reach their full potential. We are looking for a Learning and Development Manager to spearhead the design, implementation, and evaluation of comprehensive learning initiatives throughout the employee journey. This role is pivotal in crafting management training programs, nurturing exceptional leaders, and aligning learning strategies with overarching business objectives. The position reports directly to the Director of Learning and Development. If you are a strategic thinker with a proven track record in developing both in-person and online training programs and are committed to delivering world-class development solutions, we encourage you to apply!

THE ROLEJoin Peloton as a Mid-Level Copywriter, where your creative prowess and strategic mindset will play a pivotal role in our marketing initiatives. You will craft engaging content for diverse channels, including comprehensive campaigns, CRM, promotions, and performance marketing. We are seeking an individual who can identify creative opportunities in every facet of our communication.In this position, you will influence the way Peloton communicates its brand and products across multiple platforms. Your strategic thinking will drive how ideas transform and adapt through social media, email, web, and beyond, while ensuring that every detail contributes to exceptional outcomes.This role is ideal for a self-assured, innovative Copywriter with 2-3 years of experience in an agency or brand environment. Your primary skill will be copywriting, complemented by collaborative experience with cross-functional teams, particularly with art directors and designers. You will bring a distinct perspective that challenges the norm, enhancing creativity and effectiveness in every project.You will report directly to the Associate Creative Director (ACD) and Creative Directors, contributing to Peloton's mission of delivering impactful, expertly crafted creative work that resonates with our community.

ABOUT THE ROLE At Peloton, we are dedicated to crafting an unparalleled experience for our members. To ensure this, our internal systems—including Finance, HR, Supply Chain, and Legal—must operate with the same finesse as our premium fitness content. As the Senior Manager of Site Reliability Engineering (SRE) for Internal Systems, you will spearhead a team focused on the critical lifecycles of 'Order-to-Cash', 'Procure-to-Pay', and 'Record-to-Report'. You will not simply manage infrastructure; you will be the architect of our business continuity strategy. Your leadership will guide a team of skilled SREs to uphold the resilience, observability, and scalability of our global SaaS ecosystem (NetSuite, Coupa, Workday) and the supporting network infrastructure.

ABOUT THE POSITION Join Peloton as a Trade Compliance Analyst and become a key player in the execution of our Customs policies and procedures. This role focuses primarily on ensuring compliance with regulations from the US Customs and Border Protection (CBP) and Canada Border Services Agency (CBSA). Reporting directly to Peloton’s Senior Manager of Trade Compliance, you will supervise our Customs brokers, guarantee timely and accurate payments of import tariffs, and enhance our 'reasonable care' controls. The ideal candidate will be proactive in improving Peloton’s global trade compliance program by collaborating with various cross-functional teams, including external service providers, Product, Legal, Finance, Supply Chain, Operations, and Logistics. YOUR DAILY IMPACT AT PELOTON Oversee, measure, and audit the performance of Peloton's global Customs brokers in the US and Canada, with possible support for our UK, German, and Australian markets. Conduct regular audits of Peloton's import data and duty payments using CBP’s ACE and CBSA’s CARM portals. Assign global Harmonized Tariff Schedule (HTS) classifications for new SKUs and product lines. Assist with the execution of Peloton’s duty drawback and value reconciliation programs. Maintain timely and thorough Customs recordkeeping for all global imports and exports. Conduct Denied Party Screening (DPS) through Peloton’s Global Trade Management (GTM) tool. Contribute to the creation and ongoing enhancement of Peloton’s global trade compliance SOPs and policies. Proactively monitor and identify new trade compliance developments that could impact the business. WHAT YOU BRING TO PELOTON A Bachelor's degree and over 3 years of relevant experience working with an importer, Customs broker, or trade consultancy. In-depth knowledge of Customs regulations, including recent US tariff stacking rules, the Harmonized Tariff Schedule, and CBP’s duty drawback and value reconciliation programs. A Customs Broker License is a plus. Experience with Thomson Reuters ONESOURCE GTM is a plus. Exceptional written and verbal communication skills. Strong interpersonal skills with the ability to collaborate effectively across various internal stakeholders, external service providers, and global teams. Capability to manage multiple priorities efficiently. Outstanding organizational skills.

About the Role Peloton is embarking on a pivotal transformation. We are transitioning from a leader in connected fitness to an all-encompassing wellness ecosystem driven by innovation and data. Our unwavering mission is to empower our global community to lead healthier, happier, and fitter lives. As we redefine the future of health, we seek visionary leaders who are enthusiastic about creating the frameworks that will enhance our world-class member experiences. As a user-centered, outcomes-driven Product organization, Peloton's Product Analytics team plays a crucial role in delivering strategic insights, robust reporting capabilities, and A/B testing to guide our direction and product roadmap. The analyst will be instrumental in championing diverse monetization and product analytics initiatives, aimed at profitably increasing Peloton's member engagement while optimizing our product strategy. We are on the lookout for a Product Analyst to join our Product Analytics team, focusing on fostering member engagement through habit formation. At Peloton, our ambition is to cultivate Members for Life—establishing enduring fitness routines that seamlessly integrate into our members’ daily lives. This role is pivotal in evaluating the effectiveness of our product experiences designed to help members develop and maintain consistent fitness habits. The Product Analyst will collaborate closely with cross-functional product teams to assess impact, derive insights, and shape product strategy—ensuring our efforts lead to sustainable habit formation and enhanced member retention. Your Responsibilities: Oversee analytics for habit formation engagement features—from defining success metrics to providing insights that inform product decisions. Collaborate with Product Managers and Designers to construct, launch, and evaluate A/B tests that influence the product roadmap. Craft compelling narratives with data: develop clear stories that resonate with senior stakeholders and steer strategic direction. Transform member behavior data into actionable insights that enhance retention and long-term engagement. Promote clean, consistent data instrumentation and support best practices in experimentation. Your Qualifications: 3-5 years of experience in analytics, with a focus on product or UX analytics (experience in fitness or consumer technology is advantageous). Proficiency in SQL and familiarity with Python (e.g., pandas) is required.

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.

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.

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.

ABOUT THE ROLE As a detail-oriented and proactive Peloton Operations Specialist, you will play a vital role in ensuring smooth operational processes within our retail showroom and studio. You will be responsible for various logistics functions, including shipping and receiving, inventory management, visual merchandising, and apparel operations. Your efforts will not only keep the store running efficiently but also enhance the customer experience and support the sales team. YOUR DAILY IMPACT AT PELOTON Lead the execution of visual merchandising strategies in collaboration with the showroom team. Oversee apparel operations, ensuring inventory accuracy through regular counts, processing transfers, and maintaining stock display standards. Collaborate with the sales team to ensure the showroom is always customer-ready. Work alongside leadership to develop and implement operational strategies and improvements. Provide exceptional customer service on the sales floor, contributing to overall sales goals. Uphold operational compliance and loss prevention standards. Maintain organized and efficient back-of-house areas in line with Peloton's operational standards. YOU BRING TO PELOTON Prior experience in retail operations or back-of-house settings preferred. Exceptional organizational skills and keen attention to detail. A collaborative team player with a proactive problem-solving approach. Strong communication skills and readiness to assist wherever necessary. Proficiency with technology, including MS Office applications and inventory management systems. A passion for fitness and maintaining a balanced lifestyle. High school diploma or equivalent. Availability to work evenings, weekends, and holidays as required. PHYSICAL REQUIREMENTS This position entails physical activity, including frequent standing, walking, bending, and lifting items weighing 25 lbs or more. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

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.

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 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.

Join Virtu’s Research Technology team as an accomplished Machine Learning Engineer. You'll be part of a dynamic group of specialists focused on creating the robust infrastructure that fuels our quantitative researchers. This is a rare chance to engage at the crossroads of machine learning and systematic trading, developing tools that directly influence the efficiency and speed of our research capabilities. In this pivotal role, you will spearhead the development of our machine learning research platform. Your responsibilities will include managing data and computational resources, tracking experiments, and empowering researchers to transition from concept to result with maximum efficiency. Collaborating closely with quantitative analysts and engineers, you will significantly impact the implementation of machine learning practices as we enhance our operational capabilities. Our tech stack primarily includes Python, C++, and Java, complemented by various open-source tools and proprietary technologies.