Staff Machine Learning Operations Engineer

We are seeking an exceptional Staff MLOps Engineer to join our Platform Engineering team. This role will report to the VP of Platform Engineering. As Garner's foundational dedicated MLOps Engineer you will assume responsibility for the reliability performance and cost-efficiency of our production machine learning systems. You will lead the development of a robust platform designed to facilitate the secure and consistent deployment of models by our machine learning and data science teams. Given that these models directly influence health outcomes and cost-effectiveness for millions of patients maintaining the highest standards of production quality is imperative.

This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday Wednesday and Thursday. 

• Own the reliability performance functionality and cost-efficiency of Garner's production ML systems including establishing SLOs observability and on-call responsibilities.
• Architect Garner's ML platform including required data infrastructure (including feature store model registry and CI/CD for models) and standardized service patterns.
• Implement ML-specific CI/CD pipelines: Transition our deployment process from manual notebook hand-offs to automated PR-driven CI/CD workflows that include automated data quality checks and statistical model validation prior to deployment.
• Drive down cost and latency through improved architecture hardware choices and model optimization as appropriate.
• Lay the foundation for a future Garner MLOps team including workflows standards and KPIs that enables rapid teammate onboarding and helps stakeholders and teammates quickly identify the health of the team’s products allowing engineers to focus on areas where issues reside
• Establish Drift Monitoring: Design and implement automated data drift and concept drift monitoring systems that alert the team when models degrade laying the groundwork for future Continuous Training (CT) architectures

• 7+ years of software engineering experience with significant time spent operating ML or data-intensive systems in production at scale.
• Deep experience with the modern ML production stack: model serving (e.g. Sagemaker Triton or equivalent) feature stores model registries and CI/CD for ML.
• Strong infrastructure and platform engineering fundamentals: Kubernetes containerization cloud (AWS preferred) Terraform/IaC observability and incident response.
• Experience designing ML platforms or significant components of one (not strictly consuming SaaS) and the judgment to know when to build vs. buy.
• Strong collaboration with ML data platform engineers data scientists and product engineering teams with the ability to set technical direction as the most senior MLOps voice in the org.
• Healthcare regulated-data or other high-stakes production ML experience is a plus but not required.
• A desire to be a part of a high-performing mission-driven team that operates with intense urgency a strong sense of individual accountability and a commitment to authentic feedback

• Python Kubernetes AWS Sagemaker Terraform S3 Snowflake Airflow Datadog

This is a unique opportunity to join a fast-growing company in a transformative role helping shape the future of healthcare.

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

The target salary range for this position is $298000 - $351000. Individual compensation for this role will depend on various factors including qualifications skills and applicable laws. In addition to base compensation this role is eligible to participate in our equity incentive and competitive benefits plans including but not limited to: flexible PTO Medical/Dental/Vision plan options 401(k) Teladoc Health and more.

What We Do

Garner Health is a health tech startup that is transforming the healthcare economy by enabling patients to receive high-quality and affordable care. Garner Health has two core offerings: Garner a benefit program that uses a new approach to data science and incentive accounts to help employees find the best doctors in their communities and Garner DataPro a provider recommendation platform that serves referrals based on the most accurate provider performance and directory data in the industry. Garner Health’s offerings utilize over 75% of the medical claims data in the United States to objectively examine patient outcomes based on more than 500 specialty-specific quality and efficiency measures. By analyzing millions of healthcare journeys across 82 distinct medical specialties Garner Health sets a new industry standard in delivering reliable actionable referrals and navigating patients to the highest-quality providers. Garner Health is a remote-first company based in NYC.

Why Work With Us

Our values connect us in caring deeply about doing something different and hard — transforming the healthcare economy. They create an actionable set of norms for how we operate including how we make decisions and support one another. Learn about our values here: https://www.getgarner.com/about.

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