Possible Finance
Senior Machine Learning Engineer
Seattle, WA, Remote. Posted a month ago
The role
You will be the first dedicated owner of ML infrastructure. You will design and roll out a shared feature store, stand up drift monitoring, and consolidate deployment tooling.
What you will do
- Design and roll out a shared feature store
- Stand up drift monitoring to catch model degradation
- Consolidate deployment tooling into one reliable pipeline
- Kickstart processes and standards for the ML function
- Build and operate machine learning infrastructure
Required qualifications
- Deep, hands-on experience building and operating machine learning infrastructure including feature stores, model serving, and monitoring systems in a production environment
- Track record of solving ambiguous, undefined problems
- Strong proficiency in Python, AWS, and Databricks
- Engagement with the broader MLOps tooling landscape
- Drive for results and accountability to a high, concrete bar
- Comfort working cross-functionally with data scientists and engineers
- Self-starter mindset
Benefits
- Significant stock options
- Comprehensive benefits
- Bonus plan
- Commuter benefits
- Excellent office space with complimentary drinks and food
About the company
Possible is a consumer finance company and FinTech Public Benefit Corporation. They build models to assess risk, detect fraud, and personalize outcomes to help people stay out of debt.