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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.

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.

• BS, MS, or PhD degree in computer science or related field
• Proficient with C++ and/or Python
• Proficient with Scala / R / SQL
• Familiarity with modern software development methodologies and tools (Agile, Git, unit testing, CI, etc.)
• Experience designing metrics and building mechanisms to fuel business insights
• 8+ years of experience in a related field

• Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
• Experience with existing ADAS technologies, including adaptive cruise control, automatic emergency braking, lane-following, automated lane changing
• Experience with manual or automatic labeling pipelines
• Background in computer vision, perception, or signal processing

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $210,000 to $300,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

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.

Follow us on LinkedIn

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.

We are seeking a highly skilled and experienced Senior Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and safety engineers to develop models and metrics to quantify the performance of our perception system. The candidate will also define key performance metrics that will help perception engineers to directly measure the impact of the new features they are developing not only on the Perception stack but also on the end-to-end system behavior.

Responsibilities

• Develop models to analyze and characterize the influence of perception errors in simulated scenarios
• Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior
• Collaborate with perception engineers to improve the overall performance of the perception stack
• Analyze large datasets to identify patterns and insights
• Present results and insights to executive leadership
• Provide guidance and mentorship to junior team members

• PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in a data science or related field
• Strong background in statistical modeling and analysis
• Experience with machine learning algorithms and techniques
• Experience designing metrics and building mechanisms to fuel business insights
• Proficient with Spark or large-scale data analysis, SQL
• Proficient with Python 
• Experience working with large datasets
• Strong communication and presentation skills
• Ability to work independently and collaboratively with cross-functional teams

• Experience in the automotive industry or autonomous driving systems
• Experience with Databricks 
• Experience in System Verification and Validation 
• Knowledge of perception systems or computer vision
• Experience with simulation environments 

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $210,000 - $300,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

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.

Follow us on LinkedIn

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.

The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will be responsible for partnering with our AI, simulation, and mission assurance teams to drive improvements, inform development, and identify high leverage projects on our path towards autonomy. You will play a key role in enabling Zoox to develop and scale with a data-driven environment.

You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry.

Responsibilities

• Collaborating with our mission assurance team to validate and ensure the safety of our software
• Defining key performance metrics for our service and ride quality in order to guide product development to a commercial launch
• Identifying key areas of investment for our perception, prediction, and planning teams
• Establishing best practices and statistical rigor around data-driven decision-making

• Experience driving decision-making at various levels in an organization
• Familiarity with SQL
• Familiarity with Python, R, or Scala
• Sound statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders
• Experience designing metrics and building mechanisms to fuel business insights
• Experience with Spark or large-scale data analysis
• Good communication and collaboration skills
• 8+ years of experience in a related field

• Basic fluency in C++
• Experience with geospatial data analysis
• Familiarity with or exposure to experimentation platforms

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $204,000 to $294,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

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.

Follow us on LinkedIn

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.