Prior Labs
ML Engineer, Forward Deployed
New York +1 · On-site · Full-time · Posted Jun 25, 2026
- Location
- New York
Berlin - Experience
- 3+ years building and deploying ML systems in production.
About the job
Deploy Prior Labs’ tabular foundation models into strategic customers’ platforms, prove their value on real data, and own implementations through production.
What you'll do
- Integrate models into customer platforms, cloud environments, and ML pipelines; customize them for performance, latency, scale, and cost.
- Frame problems, engineer features, build and benchmark models against customer baselines, and deliver reliable, documented production solutions.
- Partner with customer teams and relay deployment insights to inform model and product roadmaps.
What they ask for
- 3+ years building and deploying production ML systems, with end-to-end ownership of challenging problems.
- Strong engineering fundamentals and expert-level Python; strong PyTorch and scikit-learn skills and understanding of transformer or foundation-model approaches.
- Depth in tabular, time-series, or structured-data ML.
- Production cloud deployment experience with AWS, GCP, or Azure.
Nice to have
- Forward-deployed, solutions engineering, or senior technical customer-facing experience.
- Relevant open-source contributions in ML or data engineering; enterprise data ecosystem, API, or deployment-pipeline experience.
Tools
Python, PyTorch, scikit-learn, AWS, GCP, Azure
AI focus
Deploy and tailor tabular foundation models for customer use cases, benchmark them on real data, and feed field insights back into model and product development.
Model-written summary · the original posting is authoritative