Senior Machine Learning Engineer
MercurySan Francisco, California, United States • New York, New York, United States • Portland, Oregon, United States • Canada • United States
Posted September 3, 2025
200700 - 250900 USD year
Full Time
About the Company
Mercury is a fintech platform for companies, offering a powerful bank account to enhance financial decision-making and align spending with business priorities. With services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust, Mercury supports over 200K startups in managing their financial operations efficiently and confidently.
Job Description
Mercury is a financial technology company committed to building an exceptional banking experience for startups. They are seeking a Senior Machine Learning Engineer to design and deploy ML & Gen AI microservices to automate customer reviews and improve the overall review experience. The role involves collaboration with data science and engineering teams and a focus on product ownership and self-organization.
Requirements
- 7+ years of experience in roles like machine learning engineering, data engineering, backend software engineering, and/or devops
- Expertise with: 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
Benefits
- Base salary
- Equity
- Benefits
