Talent.com

Machine learning engineer h1.location_city

[job_alerts.create_a_job]

Machine learning engineer • lynn ma

[last_updated.last_updated_1_day]

Senior Machine Learning Engineer (Sensor Intelligence, SaMD)

whoopBoston, MA
[job_card.full_time]

At WHOOP, we're on a mission to unlock human performance and healthspan.WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.WHOOP is s...[internal_linking.show_more]

Global Learning & Development Specialist

OrbiaBoston, US
[job_card.full_time]

Join us at Orbia Building & Infrastructure (Wavin): Where purpose comes to life.Ready to stretch your potential.Welcome to Orbia’s Building & Infrastructure business, Wavin, where our purpose ‘to a...[internal_linking.show_more]

Machine Learning Engineer, Alexa AI

Amazon.com Services LLCBoston, Massachusetts, USA
[job_card.full_time]

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation, ...[internal_linking.show_more]

Learning Specialist

Make Your MoveSalem, MA, United States
[job_card.full_time]

Salem Five is a growing regional financial services organization with a rich history of over 170 years.As an independent bank, we are deeply rooted in the communities we serve and offer our employe...[internal_linking.show_more]

Machine Learning Engineer: 24-02363

Akraya IncBoston, Massachusetts, United States
[job_card.full_time]
[filters_job_card.quick_apply]

Primary Skills: Machine Learning, AWS, Python.Duration: 11+ Months with possible extension.Location: Arlington, VA/ Boston, MA (Flexible Hybrid).Own the development and operationalization of soluti...[internal_linking.show_more]

LEARNING DESIGNER, BU Virtual

InsideHigherEdBoston, Massachusetts, United States
[job_card.full_time]

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, spec...[internal_linking.show_more]

 • [job_card.promoted]

Staff Machine Learning Engineer

Centum SearchBoston, Massachusetts, United States
[job_card.full_time]
[filters_job_card.quick_apply]

We are seeking a Staff MLE to work onsite in Boston minimum 3 days a week, per company requirement.Please apply if you are a local candidate.Centum Search is representing a Series A fintech startup...[internal_linking.show_more]

Director of Machine Learning

PRAGMATIKEBoston, MA, USA
[job_card.full_time]
[filters_job_card.quick_apply]

Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders.The company is building the security layer for the AI era, protecting ...[internal_linking.show_more]

Senior Software Engineer – Robotics, Machine Learning & Picking Intelligence

RightHand RoboticsCharlestown, Massachusetts, United States
[job_card.full_time]

Senior Software Engineer – Robotics, Machine Learning & Picking Intelligence.We are looking for a senior robotics engineer with strong applied machine learning experience to help own and evolve the...[internal_linking.show_more]

Vending Machine Associate

POP MART Americas Inc.Boston, Massachusetts, United States
[job_card.part_time]

POP MART, founded in 2010 (SEHK: 9992), is a market-leading entertainment company and a global champion of designer toy culture.Through global artist development, IP operations, designer toy cultur...[internal_linking.show_more]

LEARNING EXPERIENCE DESIGNER, Institute for Excellence in Teaching & Learning

Boston UniversityBOSTON, MA, US
[job_card.full_time]

Boston Universitys Institute for Excellence in Teaching & Learning is focused on elevating and transforming teaching and learning innovation across the entire BU campus community to deliver a super...[internal_linking.show_more]

Principal Machine Learning Engineer

Red Hat, LLCBoston
[job_card.full_time] +1

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise.Inference team accelerates AI for the enterprise and bring...[internal_linking.show_more]

Senior LLM / Machine Learning Engineer – Clinical Platforms

Boston Children's HospitalBoston, MA, US
[job_card.full_time]

The Computational Health Informatics Program (www.Boston Children’s Hospital, a Harvard Medical School affiliate, is seeking an experienced Machine Learning Engineer to join the SMART Health IT tea...[internal_linking.show_more]

Machine Operator

GreenKiss Staffing Solutions, Inc.Peabody, MA, US
[job_card.full_time]
[filters_job_card.quick_apply]

We are seeking a skilled and detail-oriented Machine Operator to join our Production team.The ideal candidate will be responsible for operating and maintaining various types of machinery to ensure ...[internal_linking.show_more]

Associate, Learning & Development

PathstoneBoston, MA, United States
[job_card.full_time]

Associate, Learning & Development.Requisition Number: LEARN001477.Company Description: Pathstone is a growing wealth management firm serving ultra-high net worth families, single family offices, fo...[internal_linking.show_more]

Machine Learning Engineer

Motion RecruitmentBoston, MA, United States
[job_card.full_time]

Our client, a major insurance and financial services institution, is seeking a Machine Learning Engineer to support the development and delivery of data-driven solutions across key initiatives.The ...[internal_linking.show_more]

Machine Learning Engineer

Vitamin TBoston, MA
[job_card.temporary]

Our client’s team seeks a Machine Learning Engineer to advance the development and improvement of our software foundation and tools vital for training state-of-the-art AI models.Your role will be c...[internal_linking.show_more]

Remote Machine Learning Engineer Talent Network - AI Trainer ($70-$250 per hour)

MercorSomerville, Massachusetts, US
[filters.remote]
[job_card.part_time]

About Mercor’s talent network** Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contrac...[internal_linking.show_more]

Senior Learning Specialist

Massachusetts Water Resources AuthorityChelsea, MA, United States
[job_card.full_time]

Are you looking to make a meaningful impact on public health and the environment? Join the MWRA team! We deliver some of the nation's highest-quality drinking water to 3 million residents, restored...[internal_linking.show_more]

Senior Machine Learning Engineer (Sensor Intelligence, SaMD)

Senior Machine Learning Engineer (Sensor Intelligence, SaMD)

whoopBoston, MA
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Machine Learning Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science. This role will contribute to both member-facing and regulated health features, requiring a strong balance of ML rigor, production readiness, and regulatory awareness. You will tackle the complex challenge of extracting reliable insights from noisy sensor data and deploying robust algorithms on constrained edge and cloud environments, ultimately delivering meaningful and personalized metrics to millions of members. Join us in pushing the boundaries of wearable technology and positively impacting people's lives!

RESPONSIBILITIES:

  • Design and train deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data.
  • Validate and maintain DL/ML algorithms for regulated health features, ensuring compliance with applicable regulatory and quality requirements.
  • Support documentation for regulated health features.
  • Write clean, efficient, and maintainable code that is production ready.
  • Monitor and ensure the proper functioning of algorithms across our diverse user population, addressing any issues related to data and data quality.
  • Conduct experiments and perform rigorous testing of the models. Optimize and fine-tune the DL/ML (including Foundation AI models) models for deployment in production systems, considering factors such as computational resources and real-time constraints. Prepare comprehensive reports for cross-functional teams.
  • Stay up to date with the latest advancements in AI/DL research and technologies.
  • Contribute to ongoing research efforts and explore new features for the Whoop product. Collaborate with engineers from SIG, Data Science and Firmware teams to translate research prototypes into scalable, efficient, and cost-effective ML inference systems.
  • Own the full lifecycle of ML service(s) from development to deployment. Be ready to partner with data engineers to build and enhance data pipelines, validation tools, and monitoring systems that ensure consistent model performance in production.
  • Mentor team members in ML engineering best practices.

QUALIFICATIONS:

  • Bachelor's degree in either Computer Science, Electrical engineering, Biomedical engineering, Data Science, Artificial Intelligence, Statistics, or a related field; Master’s or PhD degree preferred.
  • 5+ years of work experience as a Machine Learning Engineer working on research and development problems (4+ years for those with Master’s degree and 2+ years for those with PhD degree). The requirements may be relaxed for exceptional candidates.
  • Experience developing or supporting regulated or high-risk ML systems (, digital health, software as a medical devices), including familiarity with validation, documentation, and change-management requirements in regulated environments is a significant plus.
  • Solid understanding of ML fundamentals, and particularly DL techniques. At the SIG team, we like to be aware of the mathematics behind the algorithms we use.
  • Strong experience with time series data, data pertaining to wearables, physiological signals or any high-frequency sensor data. Familiarity with signal processing concepts and techniques is expected.
  • Strong experience with multiple DL architectures is expected. Experience in training/fine-tuning/deploying Foundation AI models is a plus.
  • Proficiency in Python (scientific stack), ML/DL frameworks and libraries, PyTorch, TensorFlow.
  • Demonstrated success in designing and deploying ML inference systems at scale, including real-time and batch architectures is a plus. Experience with cloud computing platforms ( AWS or GCP) is a plus.
  • Strong communication (both written and oral) and collaboration skills across cross-functional teams.
  • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
  • Demonstrated ability to think innovatively and adapt to changing requirements while consistently producing high-quality reports within tight deadlines.