Machine Learning Engineer (Foundation Models & Personalization)
Eight Sleep4 months ago
Responsibilities
- Build and deploy ML models to enhance sleep experiences through personalization and prediction.
- Apply foundation-model capabilities to real product workflows.
- Develop user behavior models connecting longitudinal signals to actionable interventions.
- Design evaluation strategies and partner with Product for online experiments.
- Productionize models with scalable training and monitoring pipelines.
- Collaborate with cross-functional partners to scope requirements and ship features.
Requirements
- 2+ years of experience building ML systems in production for consumer-facing products.
- Strong ML fundamentals in supervised learning, sequence modeling, and deep learning.
- Hands-on experience with large-scale model training using PyTorch, TensorFlow, or JAX.
- Experience with personalization systems and data tooling like SQL and distributed compute.
- Strong product sense to translate goals into measurable outcomes.
Benefits
- Equity participation for all full-time team members.
- Immediate responsibility and accelerated career growth.
- A personal Pod, the flagship product of Eight Sleep.
- Collaboration with exceptional talent in a dynamic environment.