Senior Machine Learning Engineer, Zoox
Collision Avoidance System
$221-319k
+ Amazon Restricted Stock Units & Zoox Stock Appreciation Rights
Office located in Foster City, CA
Autonomous vehicle technology
Open for applications
Autonomous vehicle technology
1001+ employees
Open for applications
$221-319k
+ Amazon Restricted Stock Units & Zoox Stock Appreciation Rights
Office located in Foster City, CA
1001+ employees
Company mission
To reimagine transportation from the ground up.
Role
Who you are
- BS, MS, or PhD degree in computer science or related field
- Experience with training and deploying Deep Learning models
- Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
- Fluency in C++
- Extensive experience with programming and algorithm design
- Strong mathematics skills
- 8+ years of experience in a related field
Desirable
- Conference or Journal publications in Machine Learning or Robotics related venues
- Prior experience with Prediction and/or autonomous vehicles in general
- Fluency in Python
What the job involves
- 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
- You will lead a team of deep learning engineers leveraging technical and managerial skills to deliver high-impact results
- You will set the short and long term technical direction for the team and collaborate on the broader company-wide directions
- You will coordinate cross-functional initiatives with other teams across CAS, Systems Engineering, QA, and more
- You will develop new algorithms that consume raw sensor data input to detect dynamic entities in the world
- You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
- You will engineer software that runs on-vehicle to efficiently execute our algorithms in real time
- You will develop metrics and tools to analyze errors and understand improvements of our systems
- You will collaborate with engineers on the other parts of CAS Perception, CAS Verification & Validation, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments
Otta's take
Sam Franklin
CEO of Otta
Zoox, a self-driving vehicle company, was founded to make personal transportation safer and more enjoyable for all. It has aimed to achieve this goal by creating a new mode of driverless transportation, thus eradicating the safety and logistical issues that come with human drivers.
It revealed its custom vehicle design in December 2020, showcasing something different from just a car without a driver. Uniquely, all four wheels are independent of one another, and the vehicles have no front or back, making them more agile than a standard car. Zoox claims that it is different from other industry players because it has created an entire driverless ecosystem, including the vehicle itself, allowing it to have more control.
The company is fast becoming a major player in an industry that is predicted to be worth $2 trillion by 2030. Electric motors are highly desirable, particularly in an urban environment, as governments look for ways to reduce emissions and improve air quality. Zoox is aiming to play a vital role in this evolution towards more sustainable urban mobility. Amazon acquired the company in 2020 and, despite a general downturn in the sector through 2022, is building a Zoox factory and budgeting $1 billion per year for future development and production.
Insights
Company
Funding (last 2 of 5 rounds)
Oct 2019
$200m
CONVERTIBLE
Jul 2018
$500m
SERIES B
Total funding: $1.2bn
Company benefits
- Paid parental leave
- Affinity groups and sports clubs
- Work from home opportunities
- Health insurance
- Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
- We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
- We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
- There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description
Company values
- WE'RE DOING ONE THING THAT WILL CHANGE EVERYTHING: Safer, cleaner, more enjoyable mobility—for everyone. One product and one mission, bringing us together and driving us forward.
- IT’S BIGGER THAN ANY OF US: Collaboration isn’t just something we talk about. It’s the only way we get this done. It takes trust, humility, and openness. And it means we pull together like no other team
- ONE ZOOX, ONE CREW: Zoox is an inclusive, diverse, supportive community. One where we celebrate together, face challenges together, and grow stronger together. And where we work hard to ensure no one is left out and everyone is part of the story.
- EVERY DAY IS A MILESTONE: From each line of code to each mile on the road, everything we do is another step forward in our mission. We ask questions, tackle problems head-on, and celebrate the progress we’re making
Company HQ
Vintage Park, Foster City, CA
Articles
Founders
Aicha Evans
(CEO, not founder)Having studied at the George Washington University, Aicha started her career with 2 years in Engineering at Skyworks before joining Intel, where she spent over 11 years. She left her role as Corporate Strategy Officer in February 2019 to join Zoox as CEO.
Jesse Levinson
(CTO)Prior to co-founding Zoox, completed a Computer Science PhD at Stanford University. Also created Pro HDR, a million+ selling mobile photography app.
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