Description
We're hiring a Deep Learning Engineer with strong experience in generative AI, LLMs/VLMs, computer vision, and agentic systems. You will convert research into real products, help build workflows that diversify datasets and/or populate data, ship machine learning workflows/pipelines fast and iterate faster, leverage LLM/VLM and agents in the data generation pipeline, and define evaluation criteria and run offline evals before any model or prompt change reaches production.
The ideal candidate will have a Master's degree or PhD in Computer Science or a related field, 5+ years of experience, solid mathematical and algorithmic foundation, strong background in computer vision and deep learning, excellent programming skills in Python and C/C++, and excellent software engineering fundamentals.
Experience designing and operating multi-agent pipelines in production, shipping a product feature backed by a VLM, and shipping AI-powered features to real users are highly valued.
You will work with a balanced mix of engineers and scientists, and we care about both rigor and actually getting things out the door. The culture is collaborative, low-ego, and built around ownership.