We’re looking for a Senior ML Engineer with strong classical machine learning training and proven production deployment experience to help build and scale ML and GenAI-powered agent systems. This is a hands-on role for someone who has shipped real models, owned them in production, and thrived in a start-up environment.
We’re building an AI-powered development environment for data workflows, helping engineers preview query results before execution, automate data pipeline creation, generate documentation and tests, and continuously optimize data infrastructure and compute usage
What You’ll Do
- Design, deploy, and own production ML systems for forecasting, optimization, and cost modeling
- Apply classical ML techniques alongside LLMs and agent frameworks
- Build and evaluate multi-agent systems for automated data engineering workflows
- Work directly with founders and engineers to ship customer-facing features
- Write production-grade Python and help define scalable ML infrastructure
- Build secure, enterprise-ready LLM applications
What We’re Looking For
- 6+ years in ML engineering or data science
- Demonstrated experience deploying and maintaining ML models in production
- Strong grounding in classical ML (e.g. forecasting, optimization, modeling)
- Meaningful startup experience with end-to-end ownership
- Experience with LLMs, RAG, vector databases, and applied GenAI
Tech Stack
Python, Hugging Face, NumPy, Pandas, FastAPI, Vector DBs, RAG, LLM evals
Featured benefits
Medical insurance, Dental insurance, Vision insurance, 401(k)