Senior Machine Learning Operations Engineer, Garner Health
$256-285k
More information about location
3+ days a week in office
Data-powered doctor search tool
Be an early applicant
Data-powered doctor search tool
201-500 employees
Be an early applicant
$256-285k
More information about location
3+ days a week in office
201-500 employees
Company mission
To transform the healthcare economy, delivering high quality and affordable care for all.
Role
Who you are
- 5+ years of software engineering experience, with meaningful time spent operating ML or data-intensive systems in production
- 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
- Strong infrastructure and platform engineering fundamentals: Kubernetes, containerization, cloud (AWS preferred), Terraform/IaC, observability, and incident response
- 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
- 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
What the job involves
- We are seeking a Senior MLOps Engineer to join our Platform Engineering team.
- This role will report to the Platform Engineering Manager, Developer Experience. As an early member of Garner's MLOps function, you will help build and operate the production machine learning systems that power our products, partnering closely with our machine learning and data science teams to enable the secure and consistent deployment of models.
- Given that these models directly influence health outcomes and cost-effectiveness for millions of patients, maintaining the highest standards of production quality is imperative
- Help ensure the reliability, performance, functionality, and cost-efficiency of Garner's production ML systems, contributing to SLOs, observability, and on-call responsibilities
- 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
- 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
- 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
Our take
An overworked US healthcare system has resulted in long waits and expensive prices, meaning that patients can't access the care that they need. Garner Health creates digital services that allow patients to find a medical expert that fits their specific needs, whatever their insurance circumstances are.
The startup provides an app that analyses local health-insurance claims history through AI. This data is used to recommend local medical professionals that will work with a patient's circumstances whilst providing direct communication channels for liaising. This helps patients to identify the highest-quality doctors and helps doctors improve how they practice medicine.
Despite other companies providing similar bespoke healthcare services, Garner Health shows a cutting edge by partnering with patient employers. This provides the financial incentive that employers must cover all or a portion of medical expenses, making healthcare financially accessible for all involved. The company has good funding at its back, and back in 2022 partnered with Marathon Health towards reducing the inefficiencies of specialty referrals.
Steph
Company Specialist at Welcome to the Jungle
Insights
142% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2026
$100m
SERIES E
Feb 2026
$118m
SERIES D
Total funding: $279.3m
Company benefits
- Flexible PTO
- Garner for Garner (employees enrolled in a Garner medical plan gain access to the Garner benefit to find Top Providers and get reimbursed for eligible expenses)
- Hybrid and remote work
- Team meets twice each year to spark innovation and foster belonging
- Variety of social programs beyond work hours
- Equal paid parental leave (12 weeks) following the birth, adoption or placement of a child
- 401(k) plan with a 2% company match and immediate vesting
- Other financial benefits such as Flexible Spending Accounts and mortgage assistance
Company HQ
Flatiron District, New York, NY
Leadership
Nick Reber
(CEO & Founder)Studied Mathematics at Brown before joining Bridgewater Associates as a Senior Investment Associate in 2006. Left Bridgewater in 2016 to join Oscar Health's Leadership Team. Founded Garner in 2018.
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