[Remote] Senior ML Operations (MLOps) Engineer at Eight Sleep

Remote

Eight Sleep Logo
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries

Requirements

  • 5+ years of software engineering experience with a focus on ML infrastructure, distributed systems, or large-scale data processing in Python (e.g., PyTorch, TensorFlow, or similar)
  • Hands-on experience with ML workflow orchestration (e.g., SageMaker, Vertex AI, MLflow, or Kubeflow) and CI/CD pipelines for model deployment
  • Demonstrated success shipping ML models to production at scale, handling telemetry, monitoring, and feedback loops across large device fleets or user populations
  • Strong experience with AWS (Lambda, ECS, DynamoDB, CloudWatch) or equivalent cloud platforms for serving and monitoring ML systems
  • A fast-paced, collaborative, and iterative approach to tackling complex problems
  • Expertise in real-time ML workflows and streaming systems (e.g., Kinesis, Kafka, Flink)
  • Expertise in optimizing ML infrastructure for efficiency, latency, and cloud cost at scale
  • Understanding of secure ML operations, privacy practices, and compliance considerations, particularly for health-related or IoT data
  • Familiarity with health, wellness, or IoT domains, especially wearables or medical-grade devices

Responsibilities

  • Pioneer Cutting-Edge Technology: Introduce and implement cutting-edge ML technologies, integrating them into our products and processes to enable the future of health monitoring
  • End-to-End Ownership: Own design and operation of robust ML infrastructure – building scalable data, model, and deployment pipelines that ensure reliable delivery of models to production
  • Cross-functional Collaboration: Partner with R&D, firmware, data, and backend teams to ensure ML inference operates reliably and scales to Pods everywhere
  • Optimize for Performance: Drive cost-effective, scalable, and high-performance ML systems by optimizing compute, storage, and deployment resources across training and inference
  • Enhance Tooling and Platforms: Develop tooling, micro services, and frameworks to streamline data processing, experimentation, and deployment
  • Effective Remote Communication: Thrive in a remote work environment, ensuring clear and direct communication

Skills

Eight Sleep

Personalized temperature control for better sleep

About Eight Sleep

Eight Sleep focuses on enhancing sleep quality through its main product, The Pod, which is a bed accessory that allows users to control the temperature on each side of the bed. This temperature can be adjusted between 55°F and 110°F, catering to individual preferences for a more comfortable sleep experience. The Pod also tracks sleep patterns and provides health insights, helping users understand their sleep quality and trends. It includes features like a gentle vibration and thermal alarm for waking up. Eight Sleep differentiates itself from competitors by offering a direct-to-consumer sales model with flexible payment options and a risk-free 30-night trial, making it easier for customers to try their product. The company's goal is to improve sleep quality and overall wellness for its users.

New York City, New YorkHeadquarters
2014Year Founded
$157.6MTotal Funding
SERIES_CCompany Stage
Consumer Software, Healthcare, Consumer GoodsIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Unlimited Paid Time Off
Commuter Benefits
Parental Leave
Company Equity

Risks

High price point of Pod 4 Ultra may limit market penetration.
Expansion into UAE may face cultural and regulatory challenges.
Reliance on direct-to-consumer sales could be vulnerable to shifts in buying behavior.

Differentiation

Eight Sleep offers personalized temperature control with The Pod, enhancing sleep quality.
The Pod provides sleep and health insights, setting it apart in the wellness market.
Eight Sleep's direct-to-consumer model includes flexible payment options and risk-free trials.

Upsides

Expansion into the UAE indicates growing international presence and revenue potential.
Partnership with athletes like Taylor Fritz boosts brand visibility in sports sectors.
Continuous product improvement with Pod 4 Ultra positions Eight Sleep as a tech leader.

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