Engineering Manager, Machine Learning Platform

Whoop is seeking a Senior Technical Program Manager to focus on Health Machine Learning in Boston, MA. This position leads cross-functional teams working on machine learning solutions designed to improve health outcomes. Role overview This role manages the development and rollout of health-focused machine learning projects. The Senior Technical Program Manager coordinates efforts across engineering, product, and data science, ensuring projects align with company strategy and timelines. What you will do Guide teams in building and deploying machine learning technologies for health applications Shape and maintain product roadmaps, keeping them aligned with strategic objectives Promote collaboration and high standards across all project phases Requirements Experience leading technical programs, ideally in machine learning or health technology Strong ability to coordinate across multiple teams and disciplines Background in managing product development cycles from concept to launch

WHOOP, a leading innovator in health and fitness wearables, is dedicated to enhancing human performance and extending healthspan. We empower our members by providing profound insights into their physical condition and daily habits. As part of our Health team, you will contribute to developing cutting-edge algorithms and features that enhance our health offerings. This role involves pioneering work in various domains including women’s health, medical-grade metrics, wellness monitoring, and longevity research, merging continuous physiological data with clinical research to create impactful health solutions. As a Senior Machine Learning Engineer, you will design, construct, and implement ML systems that deliver personalized health metrics to millions. Your expertise will bridge data science, backend engineering, and cloud infrastructure, focusing on robust, scalable ML solutions derived from physiological and behavioral data. Strong coding, system design skills, and the ability to produce production-ready ML services are essential for success in this position.

At WHOOP, we are dedicated to revolutionizing health and fitness through advanced wearable technology. Our mission is to empower individuals to unlock their full potential by gaining profound insights into their health and performance.The Health team focuses on innovating algorithms and features that enhance our health monitoring capabilities. Our initiatives encompass critical areas such as women’s health, software as a medical device, wellness tracking, longevity research, and cutting-edge health insights. By integrating continuous physiological data with clinical research and expert opinions, we create features that are scientifically robust and significantly beneficial to our members.As a Senior Machine Learning Engineer on our Health team, your role will involve designing, developing, and deploying machine learning systems that provide meaningful, tailored health metrics for millions. You will operate at the confluence of data science, backend engineering, and cloud infrastructure, delivering scalable and dependable ML solutions based on physiological and behavioral data streams. This position requires exceptional coding skills, system architecture expertise, and the capability to produce production-ready machine learning services.

The Machine Learning Data Services team is on the lookout for an accomplished and driven Staff Technical Lead Manager (TLM) to spearhead the design and operation of our foundational machine learning data infrastructure. This pivotal role necessitates a unique combination of extensive technical know-how in machine learning systems, large-scale data processing, and a proven track record in leadership to guide both team members and technical initiatives. Our ML Data Services team plays a vital role in ensuring the provision of dependable, high-quality, and easily accessible data for all machine learning applications. As custodians of the 'Data Engineering' phase within the machine learning lifecycle, we oversee the most crucial input to any ML system: the data itself. Our robust infrastructure supports numerous data pipelines and vast datasets, directly contributing to the success of our flagship products. Key Responsibilities Technical Leadership and Strategy Define and drive the technical roadmap and long-term strategy for the ML Data Services platform, ensuring alignment with the evolving needs of machine learning engineers across the organization. Act as the principal technical authority for the team, architecting sophisticated, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving. Lead the technical vision for acquiring a diverse range of training data sources, incorporating ingestion from real-world drive logs, resimulation outputs, auto-labeling pipelines, and human labeling efforts. Initiate and oversee the implementation of rigorous mechanisms for monitoring data quality, tracking data lineage, and ensuring comprehensive data governance and compliance. Deliver hands-on technical guidance, conduct design reviews, and mentor engineers, ensuring adherence to best practices, high code quality, and operational excellence. Team Management and Growth Supervise a team of software engineers, encompassing performance evaluations, career development, coaching, and mentoring. Serve as a hybrid technical leader-manager, balancing 50% management responsibilities with 50% technical leadership, architecture, and hands-on coding/design. Lead recruitment efforts to attract, onboard, and retain top engineering talent while fostering a diverse and inclusive team culture. Promote engineering excellence, operational rigor, and a strong sense of ownership within the team. Collaboration and Execution Engage closely with ML model teams and Infrastructure teams to grasp data needs and deliver solutions that expedite machine learning development cycles. Steer the execution of significant projects, ensuring timely delivery and alignment with business objectives. Articulate complex technical concepts clearly to various stakeholders.

At WHOOP, we are dedicated to revolutionizing human performance and enhancing healthspan. Our platform empowers members to achieve peak performance through a comprehensive understanding of their physiology and daily activities.We are looking for a Senior Machine Learning Engineer to be a vital part of our Sensor Intelligence Group (SIG). This dynamic, cross-functional team collaborates across WHOOP Labs, Firmware, and Data Science to pioneer cutting-edge health features for our members. In this role, you will be instrumental in developing both member-facing and regulated health functionalities. You will need a strong foundation in machine learning principles, a keen eye for production readiness, and an understanding of regulatory considerations. Your primary challenge will be to derive reliable insights from complex, noisy sensor data and implement robust algorithms in constrained edge and cloud environments. Join us in advancing wearable technology and making a positive impact on the lives of millions!

Join Formlabs as a Senior Technical Program Manager, where you will lead and coordinate technical projects that drive innovation and efficiency.In this role, you will work closely with cross-functional teams to ensure that projects are delivered on time and meet high-quality standards. Your expertise in program management and technical understanding will be essential in navigating complex challenges and ensuring alignment across multiple stakeholders.

We are seeking an innovative and results-driven Manager of Algorithms and Machine Learning to join our dynamic team at Beacon Biosignals. In this role, you will lead a team of talented engineers and data scientists, driving the development of cutting-edge algorithms and machine learning solutions that enhance our healthcare technologies.Your expertise will contribute significantly to our mission of leveraging advanced analytics to improve patient outcomes. You will collaborate with cross-functional teams to translate complex data sets into actionable insights, ensuring our algorithms are robust, scalable, and effective in real-world applications.

At Compass, we are dedicated to helping individuals discover their ideal place in the world. Since our inception in 2012, we have been transforming the real estate landscape with our comprehensive platform that enables residential real estate agents to provide unparalleled service to both sellers and buyers.As a Senior Technical Program Manager in Enterprise Technology, you will lead pivotal initiatives throughout Compass. Your responsibilities will encompass a broad spectrum of projects, from implementing advanced technical enhancements to managing third-party SaaS integration and standardizing operational processes and metrics. Your focus will be on optimizing execution, enhancing efficiency, and ensuring consistency while resolving dependencies, assessing technical risks, tracking progress, and communicating effectively with executive stakeholders.Key Responsibilities:Steer high-impact initiatives focused on developing new products and platforms for Compass.Oversee the complete life cycle of key programs, coordinating functional plans, liaising with stakeholders, and resolving issues to ensure minimal disruption to daily operations.Manage relationships and configurations with third-party software to ensure scalability and efficiency of our systems.Collaborate closely with product, design, engineering, and operations leadership while keeping executive management informed on progress and risks.Drive strategic planning and execution of significant programs within product development teams, working alongside infrastructure and cross-functional groups across the organization.Plan, manage, and deliver multiple technical programs across various organizations and locations, including mergers and acquisitions initiatives.Contribute significantly to the agile practices at Compass and participate in high-level planning on both quarterly and annual bases.Promote operational excellence and continuous process improvements throughout the organization.Utilize data and metrics to create clarity and drive decision-making through well-crafted narratives for both executives and teams.Develop Standard Operating Procedures (SOPs) to standardize and scale technical operations for ongoing improvement.

Join our innovative team at hike-medical as a Senior Machine Learning Engineer. In this pivotal role, you will harness state-of-the-art machine learning techniques to develop cutting-edge healthcare solutions. Your expertise will drive the design and implementation of robust algorithms, enhancing the efficiency and accuracy of our medical technologies.

Join Our Team: At Motional, our mission is to revolutionize transportation through the development of autonomous vehicles. As part of our cutting-edge team, you will collaborate with top-tier machine learning engineers and research scientists to bring self-driving technology to life, making a positive impact on society. We focus on creating advanced tech stacks that analyze complex driving environments and generate safe, comfortable trajectories for our robotaxi services using state-of-the-art deep neural networks.Your Role:As a Senior Machine Learning Engineer specializing in prediction, you will play a pivotal role in training, evaluating, and deploying our machine learning models for scene understanding, behavior prediction, and planning. Your daily responsibilities will include:Designing and conducting high-impact experiments through collaboration with fellow machine learning engineers.Prototyping and enhancing metrics for assessing the performance of our behavioral models across various scenarios and capabilities.Ensuring timely updates of major models, including detailed analysis of offline and on-road evaluation data.Staying abreast of the latest industry trends, proposing innovative architectures and network designs based on current literature.Maintaining a robust training and evaluation codebase, particularly focusing on dataset generation and evaluation.

The Machine Learning (ML) Data Services team is on the lookout for a passionate and seasoned Staff Technical Lead Manager (TLM) to spearhead the evolution and operation of our essential machine learning data infrastructure. This pivotal position requires a unique fusion of in-depth technical knowledge in machine learning systems, extensive data processing, and a proven track record in leadership to effectively manage both individual contributors and set technical direction. The ML Data Services team plays a vital role in ensuring the provision of reliable, high-quality, and easily accessible data for all machine learning applications. As custodians of the 'Data Engineering' phase of the ML lifecycle, we handle the most crucial input for any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and processes petabytes of data, directly facilitating the success of our flagship products. Key Responsibilities: Technical Leadership and Strategic Direction Develop and execute the technical roadmap and long-term strategy for the ML Data Services platform, ensuring alignment with the growing needs of ML engineers across the organization. Act as the leading technical authority for the team, designing complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving. Guide the technical vision for sourcing diverse training data, encompassing real-world drive logs, resimulation outputs, auto-labeling pipelines, and human labeling efforts. Oversee the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring comprehensive data governance and compliance. Provide hands-on technical mentorship, design reviews, and guidance to engineers, promoting best practices, high code quality, and operational excellence. Management and Team Development Lead a team of software engineers, conducting performance reviews, facilitating career development, and providing coaching and mentoring. Balance a hybrid role as a technical leader-manager, dedicating 50% of efforts to management and 50% to technical leadership, architecture, and hands-on coding/design. Drive recruitment efforts to attract, onboard, and retain exceptional engineering talent, fostering a diverse and inclusive team culture. Promote engineering excellence, operational rigor, and a strong sense of ownership within the team. Collaboration and Execution Work closely with ML model and Infrastructure teams to understand data requirements and deliver solutions that expedite ML development cycles. Lead the execution of major projects, ensuring timely delivery and alignment with business objectives. Effectively communicate complex technical concepts to a variety of stakeholders.

Join our innovative team at Flagship Pioneering Inc. as a (Senior) Machine Learning Engineer, where you'll be at the forefront of developing cutting-edge artificial intelligence solutions. In this role, you will leverage your expertise in machine learning algorithms and data analysis to drive impactful results across various projects. Collaborate with a diverse team of scientists and engineers to create scalable models that can be implemented in real-world applications.

Join the Innovative Team at SunoAt Suno, we are not just a music company; we are a creative powerhouse dedicated to igniting imagination through the magic of sound. Harnessing the capabilities of the world’s most advanced AI music model, we provide an exceptional creative platform, including our groundbreaking generative audio workstation, Suno Studio. We believe in empowering everyone—from shower singers to seasoned artists—to create, share, and discover music, making musical expression accessible to all.Role OverviewWe are seeking passionate early members of our research team to collaborate closely with our founding members. You will play a pivotal role in shaping the future of our machine learning initiatives by making critical technical decisions on the development and deployment of our cutting-edge ML models, boasting an H100/scientist ratio exceeding 100x.Explore the Suno job posting here!

At WHOOP, we are revolutionizing health and fitness with our state-of-the-art wearable technology, dedicated to enhancing human performance and extending healthspan. Our innovative approach enables members to gain profound insights into their bodies, behaviors, and daily activities, empowering them to make healthier choices and achieve peak performance.We are on the lookout for a Senior Machine Learning Engineer to join our dynamic Foundation AI team. This team is responsible for developing the multimodal foundation models that drive WHOOP’s next generation of intelligent, personalized, and health-optimizing solutions. These models seamlessly integrate data from wearable sensors, linguistic inputs, biomarkers, clinical data, and self-reported metrics to build scalable AI systems that accurately understand human physiology and behavior.In this pivotal role, you will be a key individual contributor leading the research, development, and implementation of large-scale multimodal models. You will work collaboratively with data scientists, ML engineers, and cross-functional partners to advance the frontiers of deep learning and ensure that our models provide significant value to WHOOP members.

Join our dynamic team at Datadog as a Senior Technical Program Manager, where you will spearhead the evolution of our Knowledge Systems program within the Technical Solutions (TS) organization. Our TS team consists of over 1,000 customer-facing technical experts, including Sales Engineers, Technical Account Managers, Support Engineers, and Solution Architects, dedicated to enhancing customer experiences and facilitating product adoption.In this pivotal role, you will amplify the effectiveness of our TS organization by managing a technical Knowledge Systems program that integrates cutting-edge AI technologies to streamline information capture, enhance accessibility, and ensure that knowledge remains a valuable resource for delivering exceptional customer experiences and fostering continuous innovation.

Become a Force for Good at Axon.At Axon, we are dedicated to our mission of Protecting Life. We are innovators, addressing society's most pressing safety and justice challenges through our advanced ecosystem of devices and cloud-based software. Our collaborative culture emphasizes open communication and respect, valuing diverse perspectives from our customers, communities, and colleagues.Life at Axon is dynamic, demanding, and impactful. Here, you will own your projects and instigate meaningful change, continually evolving while working towards a mission that matters in an environment where you can truly make a difference. Your ImpactAxon is in search of a driven and experienced Program Manager in Adoption & Enablement to spearhead internal enablement and customer adoption throughout the Fusus lifecycle. This role focuses on delivering training, developing curriculum, ensuring quality, and providing support post-deployment.This position marries program ownership with hands-on instruction, equipping both internal Axon teams and external law enforcement customers with the skills needed to effectively adopt Fusus workflows. Success hinges on your ability to teach platform functionality alongside the technical principles that facilitate successful deployments, translating real-world operational scenarios into scalable training experiences.The ideal candidate will be a strong cross-functional collaborator with an operational grasp of Axon Fusus, exceptional facilitation skills, and the capacity to independently conduct training and enablement sessions. This role is vital in ensuring customers transition seamlessly from deployment to ongoing support while maximizing product usage, operational readiness, and achieving long-term objectives.What You’ll DoLocation: Based in Axon hub sites across the United States (Atlanta, Boston, Denver, Scottsdale, or Seattle metro areas)Travel: Approximately 50%Reports to: Sr. Director, RTO SaaS Delivery

Join Zoox as a Senior Data Scientist specializing in Machine Learning for Perception. In this pivotal role, you will leverage your expertise to develop advanced machine learning algorithms that enhance perception systems. Your contributions will directly impact the design and functionality of autonomous vehicles, driving innovation in the field.

Join our innovative Perception team at Zoox, where we harness the power of cutting-edge sensor data to decode the intricacies of dynamic driving environments. In this pivotal role, you will leverage world-class sensor data and a robust infrastructure to test and validate groundbreaking algorithms. Your contributions will be instrumental in developing advanced algorithms for segmentation, tracking, classification, and high-level scene understanding, allowing you to engage with any or all of these exciting components.As a Senior Staff Machine Learning Engineer, you will spearhead the creation of machine learning algorithms that significantly influence both onboard and offboard autonomy and validation processes. You will work collaboratively with specialized teams in Prediction, Planning, Simulation, and Safety Validation, shaping our overarching technical framework. Your innovative approach will bridge team boundaries, enabling the prototyping of new methodologies that guide the long-term technical vision across multiple divisions within the organization. The impact of your work will range from achieving immediate company objectives to leading pioneering exploratory initiatives.

Join Formlabs as a Technical Program Manager and be at the forefront of innovation in the 3D printing industry. In this pivotal role, you will lead cross-functional teams to drive the successful execution of technical programs, ensuring alignment with our strategic goals. Your expertise in project management and technical understanding will be key as you navigate complex challenges and deliver exceptional results.