2 months ago
Base Salary
$148k - $203k/yr
Responsibilities
- Lead development and improvement of platforms, environments, and operational foundations supporting machine learning workflows across Oura.
- Design and unify workflows and tooling for reliable ML training, orchestration, and deployment.
- Partner with data scientists and engineers to improve the end-to-end ML lifecycle from experimentation through deployment and governance.
- Define and evolve model governance practices covering reproducibility, lineage, access controls, and operational standards.
- Standardize experiment tracking, model packaging, and promotion processes using MLflow or similar tooling.
- Onboard new use cases and prioritize shared platform improvements across business domains.
- Identify and resolve reliability, scalability, and cost-efficiency issues in cloud-based ML infrastructure.
- Drive standards, automation, infrastructure-as-code, CI/CD, and documentation for consistent ML development.
- Improve infrastructure automation, CI/CD, and observability for ML workflows and platform components.
- Contribute to workflow orchestration and platform integrations for model training and batch inference at scale.
- Align ML systems with broader data platform and governance practices.
- Shape best practices for building, shipping, and maintaining production ML systems.
Requirements
- 5+ years of experience in MLOps, machine learning engineering, platform engineering, data engineering, or a closely related field.
- Hands-on experience running production workloads in AWS and a strong understanding of cloud infrastructure concepts.
- Strong understanding of the machine learning lifecycle, including training workflows, deployment patterns, monitoring, and ongoing model maintenance.
- Familiarity with data science workflows and experiment and model operations tooling such as MLflow.
- Familiarity with workflow orchestration, infrastructure-as-code, and CI/CD practices for ML or data platforms.
- Familiarity with secure access patterns, governance controls, and shared cloud or data platform services supporting ML at scale.
- Experience building or supporting production-grade ML workflows focused on reliability, reproducibility, and maintainability.
- Ability to drive standards and improvements across multiple teams and business domains.
- Strong communication and collaboration skills with technical and non-technical stakeholders.
- Ability to work in a distributed team with substantial ownership and autonomy.
- Experience supporting multiple data science teams through shared MLOps platforms or tooling is a plus.
- Prior experience with Databricks is a plus.
- Experience with ML governance and operational controls at scale is a plus.
- Experience driving cross-team tooling or workflow standardization in ML or data platforms is a plus.
- Experience working in a high-growth environment with multiple stakeholders and evolving ML platform needs is a plus.
Benefits
- Remote role supporting US East Coast hours with occasional in-person gatherings.
- Competitive salary and equity packages.
- Health, dental, vision insurance, and mental health resources.
- Oura Ring plus employee discounts for friends and family.
- 20 days of paid time off, 13 paid holidays, and 8 days of flexible wellness time off.
- Paid sick leave and parental leave.
- Applicants residing in Alaska, Delaware, Iowa, Mississippi, Nebraska, South Dakota, West Virginia, and Wisconsin are not considered.
Tech Stack
Categories
About Ōura
Ōura makes the Oura Ring—a finger-worn health wearable—and companion app that track sleep, activity, and physiological signals; it sells devices directly to consumers and offers a paid membership for advanced insights. Founded in 2013 and headquartered in San Francisco, the company is privately held. Its service runs on iOS and Android and is used by consumers worldwide.