# Senior Applied ML Algorithm Engineer at Whoop

- Company: Whoop
- What the company does: Backed by SoftBank VF and IVP.
- Company website: https://www.whoop.com/
- Type: Startups (AI role)
- Level: Senior
- Location: Boston, MA
- Work setup: On-site
- Pay: $150K to $215K base salary per year (USD)
- Posted: 2026-10-09
- Apply by: 2026-11-23
- Apply: https://jobs.ashbyhq.com/whoop/93218baa-4989-4141-b500-32f937e72131?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/whoop-senior-applied-ml-algorithm-engineer/

## About the role

Design and develop algorithms that combine signal processing, feature extraction, and machine learning to derive meaningful physiological insights from wearable sensor data. Analyze large-scale, noisy sensor datasets to train and evaluate models, identify performance gaps, and improve accuracy, robustness, and generalization across diverse members and real-world conditions. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 5+ years of experience developing signal processing and machine learning algorithms for time-series or sensor data in real-world applications
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related quantitative field, or equivalent practical experience
- Strong foundation in digital and statistical signal processing for noisy time-series data. Experience with physiological signals or wearable sensors is a plus
- Proficiency in Python for data analysis, model development, and experimentation, and C/C++ for implementing efficient algorithms in embedded firmware
- Experience developing, training, and evaluating machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn
- Demonstrated experience deploying machine learning models to resource-constrained embedded systems, including optimization across accuracy, power, memory, compute, and latency

Tags: Sensor Intelligence

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/whoop-senior-applied-ml-algorithm-engineer/