Senior Machine Learning Engineer

Mercury

full-time

Posted on: 9/3/2025

Location: California, New York, Oregon • 🇺🇸 United States

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💰 $200,700 - $250,900 per year

Senior

AirflowDynamoDBFlaskHaskellKafkaMicroservicesPythonReactRedisSQLTypeScript

About the role

Partner with data science & engineering teams to design and deploy ML & Gen AI microservices, primarily focusing on automating reviews
Work with a full-stack engineering team to embed these services into the overall review experience, including human in the loop, escalations, and feeding human decisions back into the service
Implement testing, observability, alerting, and disaster recovery for all services
Implement tracing, performance, and regression testing
Take product ownership and help shape and build Mercury’s future

7+ years of experience in roles like machine learning engineering, data engineering, backend software engineering, and/or devops
Expertise with a full modern data stack: Snowflake, dbt, Fivetran, Airbyte, Dagster, Airflow
SQL, dbt, Python
OLAP / OLTP data modelling and architecture
Key-value stores: Redis, dynamoDB, or equivalent
Streaming / real-time data pipelines: Kinesis, Kafka, Redpanda
API frameworks: FastAPI, Flask, etc.
Production ML Service experience
Working across full-stack development environment, with experience transferable to Haskell, React, and TypeScript
Strong sense of product ownership and willingness to self-organize on small/medium projects