Machine Learning Engineer

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.

You've made a model meaningfully faster on target hardware and can explain what you gave up to get there.

You've worked on ML for autonomous vehicles or robotics before, and know how different the failure modes are from a benchmark.

Published work or open-source contributions we can actually read — send us a link and we'll read it.

A track record of setting a direction and following it through without needing to be steered.

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.

Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.