Garner Health

Senior Machine Learning Operations Engineer

New York City, New York · Senior

No sponsorship$256k-$285kDetected 21 days ago

PythonSnowflakeAWSKubernetesTerraformCI/CDDatadogPlatform EngineeringMachine LearningAirflowData ScienceMLOpsCollaboration

About the role

We are seeking a Senior MLOps Engineer to join our Platform Engineering team.
This role will report to the Platform Engineering Manager, Developer Experience.
Given that these models directly influence health outcomes and cost-effectiveness for millions of patients, maintaining the highest standards of production quality is imperative.

Build key components of Garner's ML platform, including data infrastructure (such as a feature store, model registry, and CI/CD for models) and standardized service patterns.
Implement ML-specific CI/CD pipelines: Help 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.
Help 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.
Experience building ML platforms or significant components of one (not strictly consuming SaaS), with sound judgment around when to build vs. buy.
Strong collaboration with ML, data, platform engineers, data scientists, and product engineering teams, with the ability to lead projects and influence technical decisions.

You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
The ideal candidate has:
Hands-on experience with the modern ML production stack: model serving (e.g., Sagemaker, Triton, or equivalent), feature stores, model registries, and CI/CD for ML.

5+ years of software engineering experience, with meaningful time spent operating ML or data-intensive systems in production.
Strong infrastructure and platform engineering fundamentals: Kubernetes, containerization, cloud (AWS preferred), Terraform/IaC, observability, and incident response.

The target salary range for this position is $256,000 - $285,000.
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.

Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights.
Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
Garner is one of the fastest-growing healthcare technology companies in the country.
Contribute to the workflows, standards, and KPIs that support a growing MLOps function, helping teammates and stakeholders quickly identify the health of the team's products and focus on areas where issues reside.
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process.
Healthcare, regulated-data, or other high-stakes production ML experience is a plus but not required.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

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

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

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

This listing is sourced directly from Garner Health's careers page and normalized into a canonical job model.