Software Engineer - Learned Trajectory Machine Learning Engineer at Zoox

Foster City, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Machine LearningIndustries

Requirements

BS, MS, or PhD degree in computer science or related field
Experience with training and deploying transformer-based model architectures and reinforcement learning
Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
Fluency in C++ or Fluency in Python with a basic understanding of C++
Extensive experience with programming and algorithm design
Strong mathematics skills
Bonus Qualifications
Conference or Journal publications in Machine Learning or Robotics related venues
Prior experience with Prediction and/or autonomous vehicles or robotics in general

Responsibilities

Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for autonomous vehicle
Work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc
Leverage large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
Develop metrics and tools to analyze errors and understand improvements of systems
Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments

Skills

Key technologies and capabilities for this role

Deep LearningTransformerReinforcement LearningImitation LearningPythonC++Machine Learning PipelinesDataset CreationTraining FrameworksMetrics Pipelines

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is $189,000 - $270,000 a year. Compensation also includes Amazon Restricted Stock Units (RSUs), Zoox Stock Appreciation Rights, and possibly a sign-on bonus, varying by location, level, experience, and interview performance.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Required qualifications include a BS, MS, or PhD in computer science or related field, experience with training and deploying transformer-based models and reinforcement learning, production ML pipelines (dataset creation, training frameworks, metrics), fluency in C++ or Python with basic C++ understanding, extensive programming and algorithm design experience, and strong mathematics skills.

What is the team structure and collaboration like at Zoox?

The role is on the Prediction & Behavior ML team, collaborating closely with Planner, Perception, Simulation, and Systems Engineering teams to advance autonomous vehicle behavior in complex urban environments.

What makes a candidate stand out for this Learned Trajectory ML Engineer role?

Strong candidates will have the required qualifications plus bonus items like conference or journal publications in ML or Robotics, and prior experience with prediction, autonomous vehicles, or robotics.

Zoox

Develops autonomous electric ride-hailing vehicles

About Zoox

Zoox focuses on creating a fully integrated autonomous ride-hailing service designed specifically for urban transportation. Unlike other companies that modify existing vehicles for self-driving capabilities, Zoox has engineered its own vehicle from the ground up, optimizing it for safety, efficiency, and passenger comfort. The vehicle features advanced sensors, cameras, and AI systems that allow it to navigate complex city environments. It can carry up to four passengers in a spacious interior, ensuring a pleasant ride experience. Safety is paramount, with rigorous testing and collaboration with regulatory bodies to meet high standards. Additionally, Zoox's vehicles are fully electric, promoting sustainability by reducing emissions. The company also develops a user-friendly ride-hailing platform that uses data analytics to improve routing and reduce wait times. Zoox aims to enhance urban mobility while prioritizing safety and environmental responsibility.

Menlo Park, CaliforniaHeadquarters

2014Year Founded

$1,206.2MTotal Funding

ACQUISITIONCompany Stage

Automotive & Transportation, Energy, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health Insurance

Maternity & Paternity Leave

Vacation & Paid Time Off

Sick Days

Free Lunch or Snacks

Employee Assitance Program

Risks

Increased competition from Waymo and Cruise may impact Zoox's market share.

Expansion into new cities introduces regulatory and operational challenges for Zoox.

Partnership with Williams Racing may divert focus from core vehicle development.

Differentiation

Zoox designs vehicles specifically for autonomous operation, unlike retrofitting existing cars.

Zoox's vehicles feature a unique, futuristic design with advanced AI systems.

Zoox offers a fully integrated ride-hailing service optimized for safety and efficiency.

Upsides

Zoox's expansion into Austin and Miami opens new markets and data collection opportunities.

Partnership with Williams Racing boosts Zoox's brand visibility in the U.S. market.

Hiring former Tesla executive Gao could accelerate Zoox's technological advancements.

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