Avride
Machine Learning Engineer
Austin, Texas · Full-time · Posted Aug 20, 2025
- Experience
- At least three years.
- Visa sponsorship
- Candidates must be authorized to work in the U.S.; the employer does not offer sponsorship.
About the job
Develop and deploy machine-learning models for vehicles, from data selection and training through evaluation and production inference under vehicle compute constraints.
What you'll do
- Identify and curate useful training data, and maintain dataset quality as distributions shift.
- Build evaluations that predict real-world behavior; improve models while balancing accuracy, latency, and memory.
- Deploy models on vehicle hardware and coordinate with planning, infrastructure, and vehicle software teams.
What they ask for
- At least three years taking models from data collection through training to production or real hardware.
- Deep expertise in one area: computer vision, large language models, or generative modelling.
- Fluency in Python and a modern deep learning framework; working ability to read and use C++.
- Experience with large-scale data tooling and SQL.
Nice to have
- ML experience in autonomous vehicles or robotics.
- A model-optimization track record on target hardware, or relevant publications or open-source contributions.
Tools
Python, C++, SQL, Transformers
AI focus
Machine learning for vehicle perception, including model training, real-world evaluation, and deployment on vehicle hardware.
Model-written summary · the original posting is authoritative