Prior Labs
ML Engineer, Forward Deployed
About this role
As an ML Engineer at Prior Labs, you'll play a crucial role in integrating tabular foundation models into key customer environments, providing hands-on data science expertise to demonstrate value. This position involves high autonomy and collaboration with customer teams to refine deployment processes and influence future model development.
What you'll do
- Integrate foundation models into customer platforms
- Engineer features and model real-world data
- Benchmark models against customer baselines
- Lead end-to-end delivery of use cases
- Collaborate with customer data science teams
- Provide insights to inform future model development
What they're looking for
- Machine learning
- Data science
- Feature engineering
- Model benchmarking
- Cloud environment integration
- Problem framing
- Stakeholder collaboration
- Technical decision-making
Benefits
- Work with a highly selective team
- Be involved in cutting-edge AI research
- Opportunity for high autonomy in projects
- Shape deployment practices at scale
- Join a growing company with strong backing
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Prior Labs
Prior Labs builds tabular foundation models and helps customers integrate them into production environments. The company is hiring ML Engineers who work directly with customers to deploy models, provide data science expertise, and inform product development.
View all jobs at Prior LabsLikely interview questions
- Walk us through a time you deployed a machine learning model into production. What were the biggest challenges integrating it into the customer's existing systems, and how did you solve them?
- How would you approach framing and scoping a machine learning problem with a customer who has messy, real-world data but isn't sure what's actually solvable?