Design, train, and evaluate ML models, and help turn research into reliable, production-grade systems.
What you'll do
- Own ML/AI solutions end to end — from framing the business problem through model integration, deployment, and adoption
- Design and build production applications, pipelines, and APIs using an AI-first engineering approach
- Connect models to real business systems and data sources, and make and defend architecture decisions
- Build evaluations and monitoring for quality, cost, latency, and regressions
What we're looking for
- 7+ years of experience building and deploying machine learning systems in production
- Hands-on experience with LLM APIs and multi-step AI workflows
- A verification mindset — you test model behavior rather than trusting output by default
Languages
- Python
- Go
- .NET
- C#
Frameworks & tools
- PyTorch
- TensorFlow
- Kubernetes
- Docker
- AWS