Eight Sleep · 2 days ago
ML Systems Engineer (Platform & Biometrics Data Infrastructure)
San Francisco
Full-time
Onsite
Entry, Mid Level
2+ years expEight Sleep is on a mission to fuel human potential through optimal sleep, redefining wellness with advanced technology. The ML Systems Engineer will build the foundational infrastructure for machine learning, collaborating with various teams to create scalable systems for data processing and model deployment.
Consumer Electronics
Responsibilities
Build and operate high-throughput pipelines for sensor and event data (batch + streaming), with strong guarantees on quality, lineage, and reliability
Create scalable dataset curation and labeling workflows: sampling, slice definitions, weak supervision, gold-set management, and evaluation set integrity
Develop ML platform components: feature pipelines, training orchestration, model registry, reproducible experiment tracking, and automated evaluation
Implement monitoring and observability for production ML systems: data drift, performance regression, alerting, and automated failure detection
Standardize schemas and interfaces across studies and product telemetry to enable reusable, consistent analytics and model development
Collaborate cross-functionally to support new studies and launches, ensuring data architecture meets evolving research and product needs
Qualification
Required
2+ years building data/ML infrastructure in production (data engineering, ML platform, or MLOps)
Strong Python engineering and SQL fluency; proven ability to write clean, maintainable, high-performance code
Experience with distributed processing (e.g., Spark, Flink, Ray) and workflow orchestration (e.g., Airflow or similar)
Experience with cloud infrastructure and data systems (e.g., AWS/GCP; object storage; streaming systems; warehouses/lakehouses)
Practical understanding of ML development workflows (training/eval/inference), and how platform decisions affect model velocity and reliability
Strong debugging skills in Linux environments and comfort operating systems that run 24/7
Preferred
Experience with time-series, sensor, or biometrics data (wearables/IoT) and handling irregular sampling, missingness, and calibration
Experience building feature stores, online/offline parity systems, and low-latency inference pipelines
Experience with containerization and deployment (Docker/Kubernetes), and ML CI/CD practices
Exposure to regulated or research environments (clinical studies, validation processes, privacy/security constraints)
Benefits
Equity participation
Periodic equity refreshments based on performance
Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own
Company
Eight Sleep
Eight Sleep is the world’s first sleep fitness company. Our mission is to fuel human potential through optimal sleep.
51-200 employees
H1B Sponsorship
Eight Sleep has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
Funding
Current Stage
Growth StageLeadership Team
Matteo Franceschetti
Co-Founder & CEO
Nicolas C.
Chief Financial Officer
Recent News
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