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Benefits & Perks
•Remote work flexibility
•Learning and development stipend
•Flexible PTO policy
•Parental leave program
•Health, dental, and vision coverage
Required Skills
TensorFlow
SQL
Python
WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.
We are seeking a Staff Machine Learning Engineer to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior.
In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.
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About Whoop

Whoop
Series F+A SaaS-based platform that enables subscribers to create and share media applications, websites, and text communication solutions.
1-50
Employees
Atlanta
Headquarters
$3.6B
Valuation
Reviews
4.1
9 reviews
Work Life Balance
2.1
Compensation
3.0
Culture
3.2
Career
2.4
Management
2.7
45%
Recommend to a Friend
Pros
Great people and coworkers
Excellent team environment and collaboration
Great product quality
Cons
Poor work-life balance
Limited career growth opportunities
Management and leadership issues
Salary Ranges
29 data points
Mid/L4
Mid/L4 · Data Scientist II
1 reports
$162,500
total / year
Base
$125,000
Stock
-
Bonus
-
$162,500
$162,500
Interview Experience
11 interviews
Difficulty
2.9
/ 5
Duration
14-28 weeks
Offer Rate
73%
Experience
Positive 73%
Neutral 0%
Negative 27%
Interview Process
1
Application Review
2
Online Assessment
3
Technical Interview
4
Behavioral Interview
5
Final Round/Onsite
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Take-Home Project
News & Buzz
'Blocking access to personal health data does not protect sport' Whoop hits back following the Australian Open's ban on tennis stars' fitness trackers - TechRadar
Source: TechRadar
News
·
5w ago
Underwear-gate rocks Australian Open - News.com.au
Source: News.com.au
News
·
5w ago
How a wearable caused an Australian Open debate over tennis players’ data - The New York Times
Source: The New York Times
News
·
5w ago
With the device hidden in underwear: Whoop’s plan to bypass the Australian Open ban - claytenis.com
Source: claytenis.com
News
·
5w ago