Staff Machine Learning Operations Engineer
Garner Health · New York City, New York
Posted 7 days ago · $298,000 - $351,000
or apply directly on Garner Health's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 7 days Garner Health's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 94% of Garner Health's roles list one
- Ghost-job risk at Garner Health
- high 47 stale, 0 reposted of 79 open
- Hiring momentum
- 113 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Garner Health's own greenhouse board since 2026-08-03. Full hiring picture for Garner Health.
About this role
As a Staff Machine Learning Operations Engineer at Garner, you will be responsible for the reliability, performance, and cost-efficiency of production machine learning systems. Your role involves architecting the ML platform, implementing CI/CD pipelines, and establishing monitoring systems to ensure model quality and performance. You will collaborate closely with various engineering teams to drive improvements and lay the groundwork for future MLOps initiatives.
- benefits
- 2/5
- freshness
- 5/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Garner Health as an employer.
What you need
- 7+ years of software engineering experience
- Experience operating ML or data-intensive systems in production at scale
- Deep experience with modern ML production stack including model serving, feature stores, model registries, and CI/CD for ML
- Strong infrastructure and platform engineering fundamentals including Kubernetes, containerization, cloud (AWS preferred), Terraform/IaC, observability, and incident response
- Experience designing ML platforms or significant components of one
- Strong collaboration skills with ML, data, platform engineers, data scientists, and product engineering teams
Nice to have
- Healthcare, regulated-data, or other high-stakes production ML experience
What you get
- Flexible PTO
- Medical/Dental/Vision plan options
- 401(k)
- Equity incentive
Worth weighing
- Must work in the office 3 days a week
- No visa sponsorship available
- High intensity and demanding work environment may not suit everyone
Summarised from Garner Health's posting. Read the full original.
Listed by Garner Health on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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