Senior Machine Learning Scientist (Sensor Intelligence)

· Remote

Location

Remote

Type

Full Time

Job Description

Senior Machine Learning Scientist (Sensor Intelligence)

Posted 4 Hours Ago
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Boston MA USA
Hybrid
Senior level
Fitness • Hardware • Healthtech • Sports • Wearables
Power your performance with 24/7 data
The Role
Develop and scale machine learning systems to enable AI coaching collaborate across teams for member insights and contribute to architectural decisions.
Summary Generated by Built In
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 Scientist to join the Sensor Intelligence Group (SIG) a cross-functional team collaborating across WHOOP Labs Firmware and Data Science. This role is central to developing and scaling machine learning systems that power the most foundational health features at WHOOP. You’ll enable next-generation AI coaching at Whoop developing robust algorithms for constrained edge and cloud environmentsultimately delivering meaningful and personalized coaching to millions of members.

RESPONSIBILITIES:

  • Research architect and develop ML systems for member coaching distributed between edge hardware and the cloud

  • Collaborate with machine learning and edge ML engineers to translate prototypes into production

  • Partner with product and user experience teams to ensure consistent user experience in bandwidth-constrained environments and to align with member impact and health insights goals

  • Contribute to architectural decisions and mentor team members in ML best practices

QUALIFICATIONS:

  • Bachelor's degree in Computer Science Electrical/Computer Engineering Applied Mathematics or a related field; Master’s or PhD degree preferred

  • 5+ years of experience as a Machine Learning Scientist or similar role with a focus on applied research preferably related to voice and/or text-based conversational systems 

  • Experience training fine-tuning and deploying state-of-the-art deep learning architectures to production 

  • Experience with time-series foundation models and self-supervised training approaches

  • Experience pre-training and fine-tuning small language models and/or building natural language understanding (NLU) models than run on resource-constrained targets

  • Experience with cloud platforms (AWS or GCP) and familiarity with modern MLOps practices such as CI/CD model versioning monitoring and observability

  • Strong communication 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

Top Skills

AI
AWS
Deep Learning
GCP
Machine Learning
Mlops
Natural Language Processing

What the Team is Saying

Josh
Manan Dedhia
Anahis
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The Company
HQ: Boston MA
500 Employees
Year Founded: 2012

What We Do

At WHOOP we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.


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WHOOP Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 4 days a week
HQBoston MA
Limerick Limerick V94 4D83 Ireland
Learn more

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Date Posted

04/22/2026

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