2027 Summer Intern MS PhD Machine Learning Driver Refinement Foundations

You will mine and curate samples from large driving-data corpora. You will use large language models and world foundation models for reasoning, decision-making, and multimodal generation. You will optimize multimodal generative models using RLFT, explore reward modeling, and design and improve evaluation metrics.

Responsibilities

• Mine and curate dataset samples from large driving-data corpora
• Use large language models and world foundation models for reasoning, decision-making, and multimodal generation
• Optimize multimodal generative models using RLFT
• Explore reward modeling
• Design and implement evaluation metrics
• Iterate on evaluation improvements

Requirements

• Currently enrolled in a Master's or PhD program in Computer Science or a related technical field
• Strong problem-solving and programming skills in Python or C++
• Understanding of JAX or PyTorch
• Experience with model evaluation and metric development
• Experience developing models

Benefits

• Housing or relocation bonus where applicable
• Medical, dental, and vision insurance
• Intern events and networking opportunities
• Free breakfast, lunch, dinner, and snacks
• Free access to Google shuttles
• Onsite gym
• Mental wellness support
• Gym membership
• Wellness programs
• Bonus opportunities
• Equity
• Employee provident fund
• Employee discounts
• Flexibility to work from another location for four weeks per year
• Paid time off
• Bereavement leave
• Sick leave
• Parental leave
• 26 weeks of paid leave for birthing parents
• 18 weeks of paid leave for non-birthing parents
• Employee Resource Groups
• Volunteer time off
• Access to Google offices, cafes, wellness centers, and massages
• At-home fitness and cooking classes