Machine Learning Engineer (Foundation Models & Personalization)

Eight Sleep
San Francisco
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Communication","Collaboration","Problem-solving","Ownership"]

Join Eight Sleep as a Machine Learning Engineer building consumer-facing AI systems for personalization, coaching, and sleep intelligence. You’ll own end-to-end ML workflows from problem framing to production, collaborating with product, mobile, backend, and clinical teams to ship high-impact features and iterate based on robust experiments.

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FursaFursa
Eight Sleep
Eight Sleep
7 months ago

Machine Learning Engineer (Foundation Models & Personalization)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Join Eight Sleep as a Machine Learning Engineer building consumer-facing AI systems for personalization, coaching, and sleep intelligence. You’ll own end-to-end ML workflows from problem framing to production, collaborating with product, mobile, backend, and clinical teams to ship high-impact features and iterate based on robust experiments.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and deploy ML models that improve sleep experiences through personalization, prediction, and behavior understanding (e.g., readiness forecasting, event detection, individualized recommendations).
  • •Apply and adapt foundation-model capabilities to real product workflows (LLM + tools/RAG, multimodal modeling, policy learning), including MCP-style integrations where helpful.
  • •Develop user behavior models that connect longitudinal signals (sleep, environment, routines) to actionable interventions - grounded in robust experimentation and measurement.
  • •Design evaluation strategies (offline metrics, slice-based analysis, calibration, reliability, fairness) and partner with Product to run high-quality online experiments.
  • •Productionize models: scalable training/inference pipelines, model monitoring, drift detection, alerting, and continuous improvement loops.

Pay and Benefits

Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •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).
Experience:2+ yearsConsumer technologyAI
Skills:CommunicationCollaborationProblem-solvingOwnership
Tech Stack:PythonPyTorchTensorFlowJAXSQLSparkRayGitDocker

Company Brief

Eight Sleep
Eight Sleep makes AI-powered sleep hardware and software (the Pod) that monitors biometrics and adjusts temperature, elevation, and sound to improve sleep and recovery for consumers and clinical applications. Recent expansion targets medical use cases and global retail. ([crunchbase.com](https://www.crunchbase.com/organization/eight-sleep?utm_source=openai))
Industry: Wellness & Preventive Health
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: USD 250M to 500M
Funding: Series D
Headquarters: New York, United States
Founded: 2014
Glassdoor
Glassdoor: 3.8
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