Machine Learning Engineer, Foundation Model
DiDi
27 days ago
San Jose, CA, USA
Mid Level / Senior
Base Salary
$129k - $247k/yr
Responsibilities
- Design and train large-scale deep learning models for multi-agent trajectory prediction, behavior and intent prediction, and planning.
- Build foundation model architectures including Transformers and Decision models.
- Develop scalable training pipelines across hundreds to thousands of GPUs.
- Work with massive real-world datasets and build high-quality data pipelines.
- Optimize models for latency, reliability, and on-vehicle deployment.
- Collaborate closely with perception, mapping, simulation, and systems teams.
- Drive research ideas into production systems used by real autonomous vehicles.
Requirements
- Strong background in machine learning, deep learning, or robotics.
- Experience with PyTorch, JAX, or TensorFlow.
- Solid understanding of modern neural architectures such as transformers and diffusion models.
- Strong coding skills in Python and C++.
- Passion for building real-world, safety-critical AI systems.
Tech Stack
C++PythonPyTorchTensorFlow
Categories
AI & MLData Science