# Senior Machine Learning Scientist (Sensor Intelligence)

**Company:** [WHOOP](https://hotfix.jobs/companies/whoop)
**Location:** Boston, MA
**Role:** ML Engineering
**Experience:** 5+ years
**Skills:** Deep Learning, Time-Series Models, Self-Supervised Learning, Small Language Models, Natural Language Understanding, Nlu, AWS, GCP, MLOps, CI/CD, Model Versioning
**Posted:** 2026-04-22

> Develops and scales ML systems for AI coaching on edge hardware and cloud, focusing on time-series models, small language models, and NLU for health insights. Requires 5+ years experience, deep learning expertise, and collaboration across teams.

## Job Description

## 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 that 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

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**Canonical:** https://hotfix.jobs/jobs/3a0b8a66-e106-4e31-8cc4-1ea155055163