# Senior Machine Learning Operations Engineer at Mercury

- Company: Mercury
- What the company does: Everything you do with money. All in one place. Apply in 10 minutes for business banking that transforms how you operate. Backed by Sequoia, a16z and 500 Global.
- Company website: https://mercury.com/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
- Work setup: Remote
- Posted: 2026-09-09
- Apply by: 2026-10-24
- Apply: https://job-boards.greenhouse.io/mercury/jobs/6186862004
- Page: https://www.1752.vc/careers/jobs/mercury-senior-machine-learning-operations-engineer/

## About the role

Our target new hire base salary ranges for this role are the following :

## What they're looking for

- 5+ years in machine learning engineering, backend software engineering, MLOps, or a closely related field
- Production ML service experience: deploying, serving, and operating models in low-latency, high-availability contexts
- Strong backend engineering fundamentals in Python, with API frameworks like FastAPI or Flask
- Experience with model deployment and lifecycle tooling: model registries, CI/CD for models, versioning, and staged rollout patterns (shadow, canary, champion/challenger)
- Experience building observability and alerting for production services: latency, errors, and ideally model-specific signals like drift
- Comfort with the data layer ML depends on: SQL, key-value/low-latency stores (Redis, DynamoDB, or equivalent), and streaming pipelines (Kafka, Kinesis, Redpanda, or equivalent)

Tags: Engineering