Senior Machine Learning Engineer

The role

You will design, build, deploy, and evolve data sets and models to improve product outcomes and operations. You will own the end-to-end ML lifecycle and the data layer for your models.

What you will do

• Design, build, deploy, and evolve data sets and models
• Build and maintain the data layer using lightweight data pipelines and dbt tables
• Lead the exploration and implementation of new ML applications
• Write clean, maintainable code in an event-driven architecture
• Partner with Engineering, Product, Operations, and Business teams
• Provide metrics and visibility into model quality, bias, and performance

Required qualifications

• 5+ years experience applying Machine Learning methods to production problems
• Comfortable starting from a raw, unrefined data source
• Ability to build lightweight pipelines or dbt tables
• Ability to carry data through feature engineering, modeling, and deployment

Nice to have

• Past experience as a team lead or owning end-to-end deployment
• Actuarial experience, or experience applying models to risk evaluation and aggregation problems
• Experience in computer vision and image analysis
• Experience with dbt or similar modern data transformation tools

Benefits

• Top of market salary + equity
• 3 weeks PTO
• 6 federal holidays
• Medical, dental, vision, life, disability, HSA, FSA
• 401(k)
• Free snacks
• Team lunches
• Collaborative office culture

Before you apply

• RELOCATION ASSISTANCE PROVIDED

About the company

Steadily is an early-stage, fast-growing company that manages over $20 billion in risk. The founders have three successful startups under their belt.