layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Senior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence Group) at Whoop | LAYIQ

Master’s or PhD degree in either Computer Science, Electrical engineering, Biomedical engineering, Data Science, Artificial Intelligence, Statistics, or a related field
Must have published research papers in ML/DL domains, preferably application of ML/DL on biomedical data
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
4+ years of work/academic experience as a Machine-Learning/Deep-Learning researcher (2+ years, post-PhD work experience with those having a PhD degree). The requirements may be relaxed for exceptional candidates.
Experience developing or supporting regulated or high-risk ML systems (e.g., digital health, software as a medical devices), including familiarity with validation, documentation, and change-management requirements in regulated environments is a significant plus.
Strong experience with time series data, e.g. 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, e.g. PyTorch, TensorFlow.
Experience with cloud computing platforms (e.g. 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.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.

Senior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence Group)

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