Staff Machine Learning Engineer - Vision-Language Foundation Models

Highlights

• Build the cognitive engine for autonomous driving with Gemini-class VLMs.
• Pioneer VLM data flywheel to autolabel edge cases at massive scale.
• Advance multimodal pre-training and RL to unlock complex driving reasoning.

What they offer

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

Ideal candidate

A staff-level ML leader passionate about foundation model reasoning and autonomous driving, who thrives in ambiguity, sets long-term technical vision, and multiplies impact by mentoring senior engineers.

Requirements

• Master's degree in Computer Science, AI, ML or related technical field
• 8+ years designing, training and scaling deep learning models with 3+ years on LLMs or VLMs
• Proven expertise in foundation model lifecycle including pre-training data curation and post-training
• Expert-level Python with PyTorch or JAX building reliable, scalable ML systems
• Proven ability to define roadmaps and drive multi-quarter initiatives across teams in ambiguity