ML Engineer: Foundation Models for Sleep Personalization

Eight Sleep; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity participation

Personalized sleep Pod

Health benefits

Job summary

A pioneering sleep fitness company in San Francisco is seeking a Machine Learning Engineer to create consumer-facing AI systems that enhance sleep experiences through data-driven personalization. Candidates should have at least two years of experience with ML systems in production, strong skills in supervised learning, and proficiency in Python. This position offers a collaborative, fast-paced environment with significant responsibilities and equity participation. Ideal for those who thrive on impact and innovation.

Qualifications

• 2+ years building ML systems, preferably for consumer products.
• Strong ML fundamentals and experience with large-scale model training.
• Hands-on knowledge in designing evaluation strategies.

Responsibilities

• Build and deploy ML models for personalized sleep experiences.
• Apply foundation-model capabilities to product workflows.
• Collaborate with teams to ship high-impact features.

Skills

Building ML systems in production

Supervised learning

Deep learning

Python engineering practices

Product sense

Tools

PyTorch

TensorFlow

JAX

SQL

Spark

Job description

A pioneering sleep fitness company in San Francisco is seeking a Machine Learning Engineer to create consumer-facing AI systems that enhance sleep experiences through data-driven personalization. Candidates should have at least two years of experience with ML systems in production, strong skills in supervised learning, and proficiency in Python. This position offers a collaborative, fast-paced environment with significant responsibilities and equity participation. Ideal for those who thrive on impact and innovation.