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

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Health Technology, Consumer ElectronicsIndustries

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

Key technologies and capabilities for this role

MLOpsMachine LearningData PipelinesModel DeploymentScalable InfrastructureData Engineering

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What salary or compensation does this role offer?

This information is not specified in the job description.

What skills and experience are required for this Senior MLOps Engineer role?

Candidates need 5+ years of software engineering experience focused on ML infrastructure, distributed systems, or large-scale data processing in Python (e.g., PyTorch, TensorFlow), hands-on experience with ML workflow orchestration (e.g., SageMaker, Vertex AI, MLflow, Kubeflow), and scalable deployment experience.

What is the company culture like at Eight Sleep?

Eight Sleep has a fast-moving, fast-growing culture with small autonomous teams, a growth mindset, and a strong focus on achieving the mission of improving lives through optimal sleep.

What makes a strong candidate for this MLOps role?

A strong candidate will have proven ML infrastructure expertise, experience with orchestration tools and CI/CD, and the ability to thrive in remote environments with clear communication and a growth mindset.

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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