About this role
This role suits an experienced machine learning engineer with a strong background in production modeling and data pipelines who wants to work in Austin, Texas. The position is full-time and requires working from the office four days a week.
Role Overview
Steadily is hiring a Senior Machine Learning Engineer for its Engineering and Product department in Austin, Texas. As the second engineer on the dedicated machine learning team, this role involves shaping architecture, tooling, and strategy while owning the full model lifecycle from raw data to production deployment.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Steadily is an early-stage, fast-growing company operating in the insurance sector, managing over $20 billion in risk. Recognized as a top startup employer by Forbes and included on the Inc 5000 list, the company maintains a candid and collaborative office culture in Austin, Texas.
How to Apply
Candidates should apply directly on the official Steadily careers page.
Skills and tech stack
Questions candidates ask
What is the location and work arrangement for this role?
The position is based in Austin, TX, with an expectation of working in-office four days a week.
How much experience is required for the Senior Machine Learning Engineer position?
Candidates must have 5+ years of experience applying machine learning methods to production problems.
What does the day-to-day split look like between data pipelines and modeling?
The role involves roughly 30% data pipeline work and new dbt table building, and 70% feature engineering, modeling, deployment, and monitoring.
What tech stack does Steadily use for engineering?
The engineering stack includes Python, Django, FastAPI, Kafka, AWS (EKS), Postgres, and GitHub Actions.
What benefits and perks are included?
Benefits include top-of-market salary, equity, 3 weeks PTO, 6 federal holidays, medical, dental, vision, life, disability, HSA, FSA, 401(k), free snacks, and team lunches.