Hire the Top 3% of Machine Learning Engineers under 30 minutes
Why We're Different
Whether you’re building LLM features, scaling ML infrastructure, or experimenting with GenAI, we’ll match you with elite engineers — fast.
1
Top 3% Talent Only
Every engineer goes through rigorous vetting — we only select the best performers from our elite ML training pipeline.
2
Top Schools
MIT, Berkeley, CMU, Toronto, — our engineers come from the world’s best technical institutions.
3
Production-Ready from Day 1
We specialize in talent placement across the US and Canada, with time-zone aligned, fluent English-speaking engineers.
4
Big Tech + Startup Ready
Ex-Google, Meta, OpenAI, DeepMind, AWS — combined with practical startup experience from YC, Sequoia, and a16z-backed companies.
Meet the Engineers Who Ship ML Products That Scale
Our talent pool is built for real-world ML engineering — not just academic theory.
Engineer — Ex-Google | MIT | GenAI Expert
5 years at Google Brain
Built LLM feature ranking systems for global-scale products
M.S. in Computer Science, MIT
Expert in PyTorch, TensorFlow, and LangChain
US-based, available full-time or contract
Engineer — Meta | CMU ML Infra
Deployed scalable ML infra for recommendation systems
Productionized multi-modal models at Meta
B.S. in CS from Carnegie Mellon
Skilled in Kubeflow, Airflow, Docker, GCP
Canada-based, open to hybrid roles
Engineer — OpenAI-trained | Berkely | LLM Fine-Tuning
Contributed to LLM finetuning pipelines at OpenAI
Built internal tooling for prompt engineering and data ops
M.Eng. in AI, UC Berkeley
US time zone, remote-friendly