Advanced Machine Learning Engineer
3 weeks ago
About Waymo
Waymo is at the forefront of autonomous driving technology, committed to creating a safer and more accessible transportation system. Our research team is focused on developing machine learning solutions to address open challenges in autonomous driving, aiming to safely operate Waymo vehicles in dozens of cities and under all driving conditions.
We are seeking an exceptional PhD student to join our research team and contribute to advancing machine learning solutions for autonomous driving. As part of our work, you will collaborate with other research teams in Alphabet and explore topics such as reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
Your Role
You will work alongside industry leaders on projects that drive significant impact to the company. Your responsibilities will include:
- Extending existing Vision Language Models to Vision Language Action Models
- Establishing scaling laws for foundational models in the AV space
- Exploring ways to leverage language models' reasoning capabilities to enhance end-to-end driving and other driving tasks
- Collaborating on the intersection of Large Foundation Models and Robotics for scaling embodied AI domains
Requirements
- Currently enrolled in a PhD program in computer science, statistics, applied mathematics, physics, or a related technical field of study
- Basic software programming or scripting skills (Python, C/C++)
- Experience with machine learning, deep learning, Foundational Models, and/or LLMs
- Familiar with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow)
Benefits and Compensation
This is a hybrid onsite internship position, offering a competitive salary of $60.10 USD per hour. You will also be eligible to participate in our comprehensive benefits programs, subject to eligibility requirements.
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