Principal Machine Learning Engineer - Perception at Zoox

Foster City, California, United States

$296,000 – $451,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Robotics & AutomationIndustries

Skills

Key technologies and capabilities for this role

C++PythonDeep LearningComputer VisionMachine Learning PipelinesAlgorithm DesignSegmentationTrackingClassificationScene UnderstandingProbabilistic Techniques

Questions & Answers

Common questions about this position

What is the salary range for the Principal Machine Learning Engineer role?

The base salary range is $296,000 - $451,000.

What additional compensation is offered besides base salary?

A sign-on bonus may be part of the compensation package, along with Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights.

Is this position remote or does it require office work?

This information is not specified in the job description.

What are the key required skills for this role?

Key requirements include experience with training and deploying Deep Learning models on sensor data, production ML pipelines, modern computer vision techniques, strong mathematical and probabilistic skills, and fluency in C++ or Python.

What makes a strong candidate for this position?

Strong candidates have a BS, MS, or PhD in computer science or related field, extensive experience in deep learning on sensor data, ML pipelines, computer vision, and programming in C++ or Python; bonus for publications in top conferences like CVPR or ICCV, and experience with autonomous robots or real-time sensor fusion.

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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