Staff Machine Learning Engineer at Pragmatike | New York

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.

Location: New York, NYStart date: ASAPLanguages: English (required)About the RolePragmatike is partnering with a rapidly expanding AI cybersecurity firm, supported by premier investors and leading AI experts. This innovative company is constructing the security framework for the AI age, safeguarding organizations against AI-driven threats like deepfakes, smishing, and synthetic voice attacks.After securing significant Series B funding from top-tier AI and venture capital partners, the firm is poised for an essential growth stage. With trust from major banking institutions, tech companies, and healthcare entities, they are accelerating their scaling efforts to fulfill enterprise demand in a market exceeding $200 billion.We seek a Director of Machine Learning to architect and develop the company’s machine learning capabilities from inception. This role is pivotal to our product vision, emphasizing strategic ownership, infrastructure establishment, and the execution of machine learning throughout the organization.Currently, there is no dedicated ML infrastructure or team in place. You will lay the groundwork: identifying where ML creates product value, designing comprehensive production systems, and guiding the technical evolution of ML across the company.This is a high-impact, autonomous position ideal for someone experienced in building ML systems in operational environments and ready to scale an ML function from the ground up.What You Will DoDefine the ML strategy for the company: determining application areas for ML across products, required infrastructure, and the approach for build versus buy decisions.Design and develop end-to-end production ML systems, including data pipelines, model training workflows, assessment frameworks, and inference serving.Establish a robust evaluation methodology to assess model quality, identify regressions, and facilitate data-driven improvements.Oversee the data strategy: identifying necessary data, establishing labeling processes, structuring feedback loops, and ensuring continuous model enhancement.Collaborate closely with product and backend engineering teams to seamlessly integrate ML into customer-facing systems.Produce high-quality code within the existing codebase and contribute to architectural decisions.As the function expands, support recruitment, mentorship, and leadership of the ML team.

Why Choose Charlie Health?Across the nation, countless individuals are facing mental health challenges, substance use disorders, and eating disorders. Unfortunately, many encounter obstacles to obtaining the care they need, such as limited local options and lengthy wait times. Behavioral healthcare often fails to provide the personalized support that individuals require, leaving them feeling overlooked and unsupported.At Charlie Health, our mission is to transform this landscape. We strive to connect individuals to crucial behavioral health treatment through personalized, virtual care that fosters connections between clients and clinicians, care teams, loved ones, and their supporting communities. By prioritizing those with complex needs, we are enhancing access to significant care and achieving improved outcomes—all from the comfort of home.As a rapidly expanding organization, we are reaching more communities daily, and we are assembling a team dedicated to redefining behavioral health treatment. If you are eager to leverage your skills to create meaningful change and help individuals access the care they deserve, we invite you to join us.About the RoleCharlie Health is a leader in high-acuity virtual behavioral care, having provided life-saving treatment to over 100,000 clients across the nation. Our Matching and Outcomes team is responsible for developing products that assess and enhance clinical outcomes, including systems for provider recommendations and clinical decision support tools, ensuring effective treatment. You will design predictive models and workflows to connect patients with the most suitable therapists and peers, enabling clinicians to customize care to meet each client's unique needs. The systems you develop will empower clinicians to condense and synthesize insights from our clients and providers into actionable guidance at every step. If you are passionate about utilizing data-driven insights to enhance outcomes, this team is for you.

Join our talented team at espresso as a Staff Machine Learning Engineer, where you will train advanced models aimed at significantly optimizing our users' compute costs. Leverage your expertise to innovate and drive impactful solutions that enhance efficiency and performance.

At Confido, we are revolutionizing the AI infrastructure for consumer packaged goods (CPG) brands, streamlining everything from deductions to production planning. Our platform integrates cash applications, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics into a cohesive system. The outcome is significant time savings, enhanced decision-making capabilities, and accelerated growth potential.We proudly serve over 200 brands, managing more than $20 billion in revenue, with clients like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana.With our recent successful $15 million Series A funding round led by Footwork Ventures and Y Combinator, we are poised for rapid expansion.As a Staff AI / ML Engineer, you will play a crucial role in developing and implementing the core AI systems that power our platform, including LLM-driven document understanding and predictive models that assist brands in making informed decisions.This foundational position will involve direct collaboration with our CEO and CTO to define our long-term AI strategy and architecture.

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.

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.

Supported by top-tier Silicon Valley investors, Peregrine Technologies is dedicated to assisting public safety organizations, state and local governments, federal agencies, and private-sector institutions in tackling societal challenges with unmatched speed and precision. Our AI-driven platform transforms fragmented data into actionable insights—quickly presenting mission-critical information that empowers informed decisions and enhances outcomes at every level. Currently, we serve hundreds of clients across over 30 states and two countries, impacting more than 125 million individuals, and we are poised to broaden our reach into enterprise sectors and international markets.TeamAt Peregrine, we hold a strong belief that empathy is key to our solutions. Understanding user interactions with our products is crucial, and our engineers work closely with the team on-site to explore the diverse use cases that our platform addresses.We prioritize both accountability and teamwork; you will take full ownership of significant features while collaborating with fellow engineers to ensure their successful completion. We value humility and empathy as vital components in crafting effective solutions—you'll engage directly with our deployment team and users as we refine our offerings to meet their needs. Creativity and perseverance are essential in realizing our vision.RoleAs a key member of our engineering team, you will play a pivotal role in delivering unique value to our clients. Your mission will be to create powerful, intuitive user experiences powered by generative AI, allowing users to engage with our platform in innovative ways. Your contributions will help develop safe, impactful AI-driven features that enable customers to solve real-world challenges more swiftly and effortlessly.Your responsibilities will encompass a variety of complex tasks, including scaling our platform to manage terabytes of data from multiple sources, efficiently querying and notifying users in real-time, and optimizing search algorithms for rapid result delivery.Our technology stack is continuously evolving, built on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend developed with React, Redux, and Mapbox; data storage solutions including PostgreSQL and Elasticsearch; machine learning models hosted on Bedrock and Sagemaker; and supported by AWS, Pulumi, Terraform, and Kubernetes for our infrastructure.About YouA strong desire and initiative to take ownership of large components of our projects.Experience with machine learning frameworks and concepts.Proficient in Python and familiar with web development frameworks.Ability to work collaboratively in a team environment.A passion for developing innovative solutions to complex problems.

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 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.

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...

About FinchAt Finch, we envision a world where every American household has access to legal counsel during significant life events. We are transforming the legal landscape by creating innovative infrastructure that enhances justice accessibility. Our modern consumer law framework automates administrative tasks, prioritizing client needs, starting with personal injury cases.Since our launch in April, we have experienced exponential growth, expanding our reach tenfold and supporting pre-litigation processes for leading law firms nationwide. We seamlessly blend expert operations with cutting-edge AI technology to manage intake, claim initiation, medical records, police reports, lien management, demands, and every detail in between.Backed by distinguished investors including Sequoia and Redpoint, along with founders and CEOs of transformative companies like DoorDash, Ironclad, and Digits, we are fundamentally reshaping how legal services are delivered to everyday Americans. We are in search of exceptional talent to help us scale this mission across the country.This RoleLegal processes often involve navigating unstructured documents, repetitive tasks, and data that current systems struggle to manage. As a Machine Learning Engineer at Finch, you will take ownership of the entire AI system lifecycle—from prototyping to deployment—addressing challenges where a single innovation can significantly enhance law firm operations.What You'll DoIn this hands-on applied AI position, you will develop and deploy production-ready systems rather than just conducting experiments. Your responsibilities will evolve alongside our product and team.Create voice agents, browser agents, OCR pipelines, and LLM-driven workflows that consistently perform well in production.Establish robust evaluation frameworks and feedback mechanisms to enhance model accuracy and dependability.Manage the complete ML lifecycle, including model selection, fine-tuning, prompt engineering, deployment, and monitoring.Collaborate closely with product teams, operations, and legal experts to ensure the AI solutions address the right challenges.Monitor emerging research and tools, making informed decisions on their integration into our technology stack.Who We Have in MindWe seek engineers who prioritize results over algorithms and are equally proficient in production environments and analytical settings. Below are the key qualifications we are looking for.Must-HavesOver 3 years of experience in building and deploying production ML systems.Proficient in Python, with experience across the full ML stack.

At PermitFlow, we are transforming the future of construction across America. As a pioneering applied AI firm, we address one of the most significant information challenges in the construction industry: comprehending what can be built, where, and how. Our innovative AI-driven agents empower the nation’s most rapidly growing construction companies to navigate the complexities of permitting, licensing, inspections, and project closeouts—thereby expediting housing, clean-energy, and infrastructure development nationwide.The construction sector, valued at $1.6 trillion, faces substantial delays, resource wastage, and unrealized opportunities. PermitFlow has successfully provided enhanced speed, accuracy, and visibility to over $20 billion in development projects, aiding contractors in minimizing compliance time, mitigating project risks, and scaling operations with assurance.As the U.S. enters a new capital expenditure supercycle encompassing data centers, factories, housing, and renewable energy, becoming a part of PermitFlow means constructing the AI infrastructure that underpins every construction project and propels the upcoming wave of reindustrialization.We have raised over $90 million, recently completing our Series B funding round, backed by prestigious investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with support from industry leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, offering a hybrid work schedule (3 days in the office per week). Preference will be given to candidates based in NYC or those willing to relocate.

Why Join DoppelAt Doppel, we are determined to combat one of the most significant challenges posed by AI: mass-manufactured social engineering. With the rise of scams, deepfakes, and various social engineering attacks infiltrating every digital channel—from websites and social media to ads and encrypted messaging apps—our mission is both simple and audacious: to create a safer internet by outsmarting the fastest-evolving digital threats.Supported by renowned investors such as a16z and Bessemer, and trusted by leading brands including OpenAI, United Airlines, and Coinbase, Doppel is experiencing rapid growth. If you are passionate about tackling real-world problems with innovative technology, we would love to connect with you.What We Are BuildingWe are developing an AI-native social engineering defense platform. This entails creating scalable systems that monitor billions of domains, social media accounts, applications, dark web forums, and more, utilizing AI agents to identify and neutralize digital threats.Your RoleWe are seeking a talented Machine Learning Engineer to contribute to the development and scaling of the models and systems that drive Doppel’s detection capabilities. In this position, you will:Design, train, and deploy models for both batch and real-time inference to identify malicious or infringing content across a variety of data sources.Collaborate closely with the Detection and Infrastructure teams to ensure our ML systems can scale with the increasing volume of web data we process.Tackle challenges that span from Natural Language Processing (NLP) and embeddings to similarity search, classification, and anomaly detection.Engage directly with customers and internal stakeholders to translate real-world threats into practical ML solutions.

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.

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 dynamic Machine Learning team at Jane Street, where we're seeking an innovative engineer with extensive experience in machine learning and a solid mathematical background. Your role will be pivotal in shaping the trajectory of our ML platform. Machine learning is integral to Jane Street's global operations. Our fast-paced trading environment offers a unique platform for rapid experimentation in ML, enabling us to seamlessly integrate new concepts. Our team comprises passionate individuals who value exceptional software engineering and the design of user-friendly APIs and systems. Your deep understanding of the ML ecosystem and various methodologies—be it neural networks, random forests, gradient-boosted trees, or advanced ensemble techniques—will be crucial for informed decision-making, ensuring we utilize the optimal tools for each challenge. You will also focus on refining research workflows to enhance our feedback loops. Successful ML engineers can grasp the mechanics of diverse modeling techniques and communicate the underlying mathematics effectively. If you haven't considered a career in finance before, rest assured, you're not alone; many of our team members started in similar positions. While we don't have a rigid set of qualifications, your curiosity and passion for solving complex problems will greatly contribute to our team culture.

Join our dynamic Machine Learning team at Jane Street, where we are seeking a talented Machine Learning Engineer with extensive experience in the field and a solid mathematical background. You will play a crucial role in shaping the direction of our cutting-edge ML platform. Machine learning is a vital component of Jane Street's global operations. Our rapidly evolving trading environment provides a unique platform for ML experimentation, enabling us to seamlessly integrate innovative ideas. Our team is composed of passionate individuals dedicated to the art of software engineering and the creation of user-friendly APIs and systems. We depend on your deep understanding of the ML landscape and various methodologies—be it neural networks, random forests, gradient-boosted trees, or advanced ensemble methods—to facilitate informed decision-making and ensure we employ the most effective tools for each challenge. Your contributions will also focus on refining research workflows to enhance feedback loops. Successful candidates will grasp the underlying mechanics of different modeling techniques and possess the ability to articulate the mathematical principles that govern them. If finance is a new frontier for you, you're not alone—many of us were once in your shoes. While we don't have a strict checklist of qualifications, if you possess a curious mind and a drive to tackle intriguing challenges, we believe you’ll thrive in our environment.

About UsAt Percepta, we are dedicated to revolutionizing essential sectors through applied AI. Our vision is to empower industries that drive the global economy, such as healthcare, manufacturing, and energy, leveraging cutting-edge technology.To achieve this, we partner with leading organizations to facilitate AI transformation. Our strengths lie in:Expertise in engineering, product innovation, and research.Our proprietary toolset, Mosaic, for swiftly implementing intelligent workflows.Strategic alliances with industry giants like Anthropic, McKinsey, AWS, and others within the General Catalyst portfolio.Our rapidly expanding team consists of Applied AI Engineers, Product Managers, and Researchers, all driven by a shared goal of integrating AI advances into practical enhancements in everyday life.Percepta is a proud partner of General Catalyst, a global leader in transformation and investment.Role OverviewWe are seeking talented Machine Learning Engineers to collaborate directly with client teams, defining and delivering impactful AI systems. This is not about prototypes; you will design, build, and deploy production-grade AI agents and workflows that significantly enhance business outcomes for our clients.As a Machine Learning Engineer, you will:Design and optimize AI/ML systems: Create comprehensive ML pipelines for data ingestion, training, evaluation, and deployment. Enhance and adapt LLM models using techniques like fine-tuning, distillation, and retrieval systems to address specific industry challenges.Conduct thorough evaluations of AI systems: Implement custom assessments to validate model performance in real-world applications.Apply advanced methodologies: Stay abreast of the latest innovations in areas such as RAG, tool integration, multi-step agent orchestration, and evaluation frameworks, applying these to meet unique customer needs.Collaborate across teams: Work alongside research and product teams to transform cutting-edge techniques into scalable features and workflows.Enhance our core product: Integrate insights from customer interactions back into our Mosaic product, consistently delivering reusable ML components and infrastructure enhancements.

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.