Machine Learning Engineer

Job description

Job requirements

• You've shipped a neural network, not just trained one. At least three years taking models from data collection through training to something that ran in production or on real hardware, and stayed working.
• Real depth in one modern ML area — computer vision, large language models, or generative modelling. We'd rather see one domain you know properly than six you've touched.
• Python and a modern deep learning framework , fluently, as your daily working environment.
• Enough C++ to be useful. Inference runs in C++ on the vehicle. You don't need to be a C++ specialist, but you need to be able to read the code your model runs inside and work with the engineers who own it.
• Comfort with large-scale data tooling and SQL — you can get your own data without waiting on someone else.
• You read papers and can tell which ones matter. Most don't.
• You can explain a technical trade-off to someone who doesn't share your background and hold your position when it's the right call.