Data Science Intern

Number of employees

2600

Foster City, CA, United States

Posted on: 2023-09-26

Category: emobility

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Employment type:

Internship

Experience required:

Intern

Salary

Salary not provided

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.


The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main AI autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.

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.

Vaccine Mandate
Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

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.


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.

Responsibilities

  • Defining key performance metrics for our safety critical perception and prediction system, in order to guide product development to a commercial launch
  • Apply distributed compute algorithms to efficiently analyze petabytes of urban driving data
  • Work closely with ML engineers to develop metrics and tools for analyzing errors and understanding improvements in our systems
  • Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation
  • Qualifications

  • BS or MS degree in computer science, statistics, physics, applied mathematics or related field
  • Proficient with Python 
  • Familiarity with SQL / Scala
  • Experience with quantitative analysis of complex systems, probability and statistics
  • Familiarity with modern software development methodologies and tools (Agile, Git, unit testing, CI, etc.)
  • Good communication and collaboration skills
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