# Machine Learning Engineer (Foundation Models & Personalization) at Eight Sleep

- Company: Eight Sleep
- What the company does: Fall asleep faster and stay asleep longer with personalized cooling and heating for each side of the bed. Pod 6 reduces snoring and works with any mattress. Backed by General Catalyst, Khosla and Y Combinator.
- Company website: https://www.eightsleep.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-01-21
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/eightsleep/ef81d491-6991-49f7-8195-d3de86d951b0
- Page: https://www.1752.vc/careers/jobs/eight-sleep-machine-learning-engineer-foundation-models-and-personalization/

## About the role

We’re looking for a Machine Learning Engineer to build and ship consumer-facing AI systems that power personalization, coaching, and next-generation “sleep intelligence.” You’ll work across data, modeling, product, and engineering to translate research into reliable, measurable improvements for members. This role is ideal for someone who loves end-to-end ownership: from problem framing → prototyping → offline evaluation → online experimentation → production deployment → iteration.

## What they're looking for

- 2+ years building ML systems in production, ideally for consumer-facing products
- Strong ML fundamentals across supervised learning, sequence/time-series modeling, and modern deep learning
- Hands-on experience with large-scale model training and evaluation (PyTorch/TensorFlow/JAX), and strong Python engineering practices
- Experience with personalization systems (ranking/recommendations, segmentation, lifecycle modeling, propensity/behavior modeling, causal/experiment-aware thinking)
- Fluency with data tooling (SQL, distributed compute such as Spark/Ray, and cloud storage/compute)
- Strong product sense: you can translate ambiguous goals into measurable outcomes and iterate quickly with stakeholders

Tags: R&D