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Machine Learning Engineer (Foundation Models & Personalization)
Eight SleepSan Francisco, CA · full time · Mid
Listed on Eight Sleep’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves building machine learning systems that personalize sleep experiences through predictive models, foundation model applications, and behavior analysis. It suits engineers who enjoy owning projects end-to-end from research through production deployment and want to work on consumer health technology.
Our summary, not Eight Sleep’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 2+ years building ML systems in production for consumer products
- Supervised learning, sequence modeling, and deep learning fundamentals
- Hands-on model training and evaluation with PyTorch, TensorFlow, or JAX
- Experience building personalization systems like recommendations or lifecycle modeling
- SQL and distributed compute tools like Spark or Ray
- Strong product sense to translate ambiguous goals into measurable outcomes
Nice to have
- Experience applying LLMs or foundation models to product features
- Multimodal data and health/biometrics experience
- Privacy-preserving techniques like on-device or federated learning
- Causal inference or experimentation framework design