Confidential (Registered Users Only) is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Confidential (Registered Users Only) has focused on building the Confidential (Registered Users Only) Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Confidential (Registered Users Only) Driver powers Confidential (Registered Users Only)’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Confidential (Registered Users Only) Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Software Engineering builds the brains of Confidential (Registered Users Only)'s fully autonomous driving technology. Our software allows the Confidential (Registered Users Only) Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.
The subteam for this role will be:
Driver Refinement foundations - The team is accountable for providing the common, consistent framework (and enabling expertise) for post-training and heuristic hill climbing across the entire Planner organization. We build fundamental platforms, including the Data Flywheel and the Reasoning platform, to assist Confidential (Registered Users Only) engineers in delivering driving behavior improvements using data-driven and heuristic methods.
Confidential (Registered Users Only) interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Confidential (Registered Users Only) for a fun and rewarding internship!
You will:
- 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
You have:
- Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field
- You have 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
We prefer:
- Some understanding of SQL is preferred, not required
- Previous Internship experience
- PhD preferred
General Perks
- Competitive compensation packages with a housing/relocation bonus (if applicable)
- Medical, dental, and vision insurance
- Fun intern events and networking opportunities
Onsite Perks
- Free breakfast, lunch, dinner, and snacks
- Free access to Google shuttles
- Onsite gym
Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.Hourly Masters Pay
$70 - $70USD
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.Hourly PhD Pay
$85 - $85USD