Mercury-posted 4 months ago
$200,700 - $250,900/Yr
Full-time • Senior

The Risk Onboarding team is working on efficiently reviewing customers’ applications without compromising on quality. We are the front line of defense for preventing money laundering and financial crimes, building systems to verify that someone is who they say they are and that we are allowed to do business with them. At Mercury, we are committed to crafting an exceptional banking experience for startups. Our team is passionately focused on ensuring our products create a safe environment that meets the needs of our customers, administrators, and regulators.

  • 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
  • Feel a strong sense of product ownership and actively seek responsibility – we often self-organize on small/medium projects, and we want someone who’s excited to 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
  • Proficiency in SQL, dbt, Python
  • Experience with OLAP / OLTP data modelling and architecture
  • Familiarity with key-value stores: Redis, dynamoDB, or equivalent
  • Experience with streaming / real-time data pipelines: Kinesis, Kafka, Redpanda
  • Knowledge of API frameworks: FastAPI, Flask, etc.
  • Production ML Service experience
  • Working across full-stack development environment, with experience transferable to Haskell, React, and TypeScript
  • Base salary
  • Equity
  • Benefits package
  • Competitive salary and equity ranges
  • Regular updates using reliable compensation survey data
  • Diversity & belonging initiatives
  • Equal Employment Opportunity employer
  • Reasonable accommodations for applicants with disabilities or special needs
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