Senior Machine Learning Engineer
Possible Finance1 month ago
Base Salary
$187k - $202k/yr
Responsibilities
- Design and roll out a shared feature store for data science experimentation and production use.
- Build drift monitoring to detect model degradation before it affects customers.
- Consolidate model experimentation and deployment tooling into a clean, reliable pipeline.
- Own Possible’s ML infrastructure strategy, processes, and standards as the first dedicated infrastructure specialist.
- Work cross-functionally with data scientists and engineers to adopt new tooling.
Requirements
- Deep, hands-on production experience building and operating machine learning infrastructure, including feature stores, model serving, and monitoring systems.
- Track record of solving ambiguous and undefined problems without an existing playbook.
- Strong proficiency in Python, AWS, and Databricks.
- Engagement with the broader MLOps tooling landscape and sound judgment in evaluating and selecting tools.
- Demonstrated accountability and drive for concrete results.
- Comfort collaborating cross-functionally and bringing colleagues along on new tooling.
- Self-starter mindset and enthusiasm for building systems from scratch.
Benefits
- Hybrid position requiring work from the downtown Seattle office three days per week on Monday, Tuesday, and Thursday.
- Significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and complimentary drinks and food in the office.
Categories
About Possible Finance
Possible Finance builds a mobile-first consumer lending platform offering small-dollar installment loans and credit-building products for underserved U.S. borrowers. The company earns revenue from lending fees and interest, and operates as a Public Benefit Corporation focused on affordable credit. Founded in 2017 and headquartered in Seattle, it has a distributed team and more than 100,000 App Store reviews with a 4.8-star average.