Senior Machine Learning Engineer, Perception LLM/VLM

Highlights

• Develop VLM foundation models that perceive the world around autonomous vehicles.
• Design continual pre-training pipelines integrating diverse multimodal sensor data.
• Translate cutting-edge LLM and continual learning research into production systems.

What they offer

• Discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program

Ideal candidate

Experienced ML researcher-engineer passionate about foundation models and autonomous driving, who thrives turning latest VLM research into robust real-world perception and learning continuously from large-scale real data.

Requirements

• 5+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models)
• Proven expertise in LLM/VLM pre-training, continual learning with large scale datasets
• Strong coding proficiency in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch)
• Hands-on experience with model training, evaluation, and deployment in a production environment
• Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience