25 matches
Principal Software Engineer, AI
4 days agoPermitFlow🇺🇸New York, NY
$250k–300kHybridFull-timeFigma - Linear
Sr. Measurement Lead, Marketing Science
2 months agoPower DigitalRemote - United States
RemoteFull-timeAWS - dbt
Principal Machine Learning Engineer role in Austin, TX, 4 days in-office, owning the end-to-end ML lifecycle from raw data through feature engineering, deployment, and monitoring. About 30% of the work is lightweight data pipelines and dbt tables, with the rest on modeling and deployment. Stack includes Python, Django/FastAPI, Postgres, Kafka, AWS EKS, dbt, and GitHub Actions.
Overview
Location: Austin, TX (4 days in-office)
Employment Type: Full-time
Department: Engineering & Product
RELOCATION ASSISTANCE PROVIDED
As a Principal Machine Learning Engineer:
You will play a key technical role on our Engineering team, identifying trends and insights across large data sets to discover where refined data or internal ML/AI models can improve our product outcomes and operations.
As the second engineer joining our dedicated ML team, you will have outsized influence on our architecture, tooling, and ML strategy. Because we are a fast-growing, agile company, this is a true end-to-end role. You’ll own researching, building, evaluating, and deploying your models to production, as well as monitoring them for quality and accuracy over time. We operate across data types including public, proprietary, and a large volume of image data.
Because we currently operate without a dedicated Data Engineering team, you will also own the data layer for your models. In practice, that means you'll often be the first person to touch a given raw data source; you're comfortable going from an unrefined, previously unexplored data set through feature engineering and into a production ML model. You can expect roughly a 30% data pipeline / new dbt table building (lightweight, not heavy ETL) and 70% feature engineering, modeling, deployment, and monitoring split in your day-to-day work.
You’ll operate with a high degree of autonomy and serve as a trusted technical owner for business problems across the organization. Steadily is still early in our exploration of where AI/ML models can drive the biggest value, making this role ideal for engineers who thrive in ambiguous environments and want their technical work to translate directly into massive business impact.
This is a full-time position based in our Austin, TX office (4 days a week in-office). We are located near Mopac and W. Anderson Lane.
Job Responsibilities
What we’re looking for:
Nice to have:
We’re excited to meet you!
