Machine Learning Researcher

3 days ago


Mountain View, California, United States Waymo Full time
Company Overview:
Waymo is an autonomous driving technology company with a mission to create the most trusted driver. The company has a long history, starting as the Google Self-Driving Car Project in 2009. Waymo's main goal is to improve access to mobility while saving lives lost to traffic crashes.

Salary:
The expected hourly rate for this full-time position is $60.10 USD per hour. As a PhD intern, you are also eligible to participate in the company's generous benefits programs, subject to eligibility requirements.

Job Description:
As a member of the Waymo Research team, your primary responsibility will be to develop machine learning solutions addressing open problems in autonomous driving. You will work alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: leveraging your knowledge while providing you with opportunities to expand your skill-set.

Key Responsibilities:
• Design state-of-the-art, multi-modal and multi-task perception models
• Perform research into novel techniques to extend the open vocabulary capabilities for perception foundation models
• Publish the developed works for the wider research community

Requirements:
• Currently pursuing a PhD program in Computer Science, Machine Learning, Robotics, or a similar technical field of study
• Strong track record of high-quality ML research, demonstrated by conference publications in venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc.
• Experience working with large-scale perception models for detection and segmentation

Preferred Skills:
• Experience integrating language and perception models
• Hands-on experience with deep neural networks and familiarity with at least one type of deep learning framework such as PyTorch, Jax, Tensorflow, etc.
• Strong coding skills in Python and/or C++

This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled.

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