Prediction Internship/Co-op
Job Summary
Job Description
6 skills required
Job Details
The Prediction & Behavior ML team is responsible for developing machine-learned models that understand the entire scene around our vehicle and perform a wide range of tasks, from forecasting the behavior of other agents, guiding our own vehicle’s actions, and leveraging scene understanding for offline applications.
Our models tackle these challenges by learning behaviors from Zoox’s immense datasets and applying them on-vehicle to influence our vehicle’s driving behavior and off-vehicle to provide state-of-the art solutions for autonomy simulation and validation.
Given the tight integration of behavior forecasting and motion planning, our team necessarily works very closely with the Planner team to advance our overall vehicle behavior. The Prediction & Behavior ML team also works closely with our Perception, Simulation, and Systems Engineering teams on many cross-team initiatives.
As an intern you will push the boundaries of deep learning for behavior prediction, planning, autonomy validation, ML for simulation, foundation models, and more. You will work together with other interns and full time engineers to develop new ideas and benchmark them on Zoox’s vast internal datasets and powerful compute resources. You will also have the opportunity to share your results with the wider autonomy teams at Zoox and through external conference publications.
Technical Qualifications & Language Requirements
- Advanced understanding of Python or C++
- Experience with production ML pipelines: dataset creation, labeling, training, metrics
- Experience with Neural Network design and implementation
Compensation
The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Compensation
The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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About The Company
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
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