The Risk Onboarding team at Mercury is working on efficiently reviewing customers’ applications without compromising on quality, aiming to prevent money laundering and financial crimes by building systems to verify customer identities and business legitimacy.
Requirements
- 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
Responsibilities
- 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
Other
- Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer.
- All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.
- We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs.
- If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
