Collision Avoidance System Machine Learning Intern
Collision Avoidance System Machine Learning Intern
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Job Description
As an Autonomous Vehicle Perception Intern you will play a crucial role in the design and implementation of deep neural networks that integrate data from various sensor types to enhance the perception and predictive capabilities of autonomous vehicles in challenging urban environments. This internship provides an exciting opportunity to work alongside experts in the field and gain valuable experience in modern deeplearning techniques.
The candidate will have the opportunity to:
1. Collaborate with our team of engineers to develop and implement stateoftheart deep neural networks tailored for autonomous vehicle perception.
2. Work with sensor data from various sources such as LiDAR radar and camera to create robust models that improve the vehicles ability to perceive and predict its surroundings.
3. Contribute to the development and enhancement of a productready code base ensuring that code is scalable maintainable and meets highquality standards.
Technical Qualifications & Language Requirements
- Experience with modern deep learning frameworks (e.g. Pytorch and Tensorflow)
- Fluency in C
- Experience in implementing and training deep learning models
- Experience in computer vision is nice to have
- MSE degree or a senior PhD candidate in Computer Science Computer Vision Robotics or related fields
Compensation
The monthly salary range for this position is $6500 to $9500. 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 groundup 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 mobilityasaservice in urban environments. Were looking for top talent that shares our passion and wants to be part of a fastmoving and highly executionoriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter.
A Final Note:
Required Experience:
Intern
Employment Type
Intern
Key Skills
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