Data Scientist - Collision Avoidance System

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 Artificial Intelligence (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.

Responsibilities

• You will define key performance metrics for our safety critical perception and prediction system, in order to guide product development to a commercial launch

• You will work closely with software engineers, data engineers, and data scientists to develop metrics and tools for analyzing errors and guiding improvements in our systems

• You will contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation

• You will apply distributed computing algorithms to efficiently analyze petabytes of urban driving data

Qualifications

• MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field

• Proficiency in Python and SQL with experience in production-quality code

• Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis.

• Experience with large-scale data analysis and statistical modelingProficiency with Git, unit testing, and collaborative development practices

Bonus Qualifications

• Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines

• Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks

• Experience with designing metrics and delivering actionable insights that drive  business decisions

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.

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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.