Whoop

3 months ago

Senior Machine Learning Scientist (Sensor Intelligence)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 minutes agoStatus: Live

Job Summary

Lead development of machine learning systems for WHOOP's Sensor Intelligence, spanning edge and cloud environments, collaborating with ML/edge engineers, and partnering with product/UX teams to deliver AI-powered health coaching to millions of members.

Location: Boston

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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
•Drive cross-functional collaboration to ensure AI-enabled features meet high-quality standards

Pay and Benefits

Salary: USD 150,000 - 215,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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:5+ yearsHealthcareWearablesAIEdge computing

Education:Bachelor's

Skills:PythonNLUEdge computingMLOpsCI/CDAWSGCPPyTorchTensorFlowTime-seriesSelf-supervised

Languages:English

Tech Stack:PythonAWSGCPPyTorchTensorFlowCI/CDMLOpsEdge computingNLUTime-series

Company Brief

Whoop

Whoop designs and sells a subscription-based wearable fitness tracker and analytics platform that monitors recovery, strain, and sleep to optimize athletic performance and daily health for consumers and professional athletes.

Industry: Wearables

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Boston, United States

Founded: 2012

Website LinkedIn

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Whoop

3 months ago

Senior Machine Learning Scientist (Sensor Intelligence)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 minutes agoStatus: Live

Job Summary

Location: Boston

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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
•Drive cross-functional collaboration to ensure AI-enabled features meet high-quality standards

Pay and Benefits

Salary: USD 150,000 - 215,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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:5+ yearsHealthcareWearablesAIEdge computing

Education:Bachelor's

Skills:PythonNLUEdge computingMLOpsCI/CDAWSGCPPyTorchTensorFlowTime-seriesSelf-supervised

Languages:English

Tech Stack:PythonAWSGCPPyTorchTensorFlowCI/CDMLOpsEdge computingNLUTime-series

Company Brief

Whoop

Industry: Wearables

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Boston, United States

Founded: 2012

Website LinkedIn