ML Intern: Python/C++, Multimodal & Metrics (Hybrid)

ContentBuffer; Mountain View (CA); Hybrid; USD 96,000 - 117,000; Full time

Benefits offered by this job

Housing/relocation bonus

Medical, dental, and vision insurance

Intern events and networking

Free onsite perks (breakfast, lunch, &

Shuttle service

Onsite gym

Job summary

Waymo is offering a hybrid onsite internship in Mountain View, CA for graduate students in computer science or related fields. You will work on data curation, multimodal reasoning, and model evaluation, with compensation structured as hourly pay at the Masters or PhD level.

Applicants should demonstrate strong Python/C++ skills, familiarity with Jax/PyTorch, and hands-on experience building or evaluating ML models. This program emphasizes learning, collaboration, and real-world impact.

Qualifications

• Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field.
• Strong problem solving and programming skills in Python and/or C++.
• Good understanding of Jax/Pytorch.
• Experience in model evaluation and developing metrics.
• Experience developing models.

Responsibilities

• Mine and curate dataset samples from large corpus of driving data.
• Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation.
• Optimize Multimodal generative models using RLFT. Explore Reward modeling.
• Design and implement Evaluation metrics and iterate on improvements.

Skills

Python

C++

Jax

Pytorch

Problem solving

Internship experience

Education

Graduate program (Master's or PhD) in CS or related field

Tools

SQL

Job description

Waymo is offering a hybrid onsite internship in Mountain View, CA for graduate students in computer science or related fields. You will work on data curation, multimodal reasoning, and model evaluation, with compensation structured as hourly pay at the Masters or PhD level.

Applicants should demonstrate strong Python/C++ skills, familiarity with Jax/PyTorch, and hands-on experience building or evaluating ML models. This program emphasizes learning, collaboration, and real-world impact.