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Senior Machine Learning Engineer (Sensor Intelligence)

Whoop

Senior Machine Learning Engineer (Sensor Intelligence)

Whoop

Boston, MA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Remote work flexibility

Learning and development stipend

Flexible PTO policy

Health, dental, and vision coverage

Annual team offsites

Top Tier compensation with equity

Required Skills

Apache Spark

Airflow

SQL

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!

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About Whoop

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