Machine Learning Engineer, 3D Simulation at Zoox

Seattle, Washington, United States

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$134,000 – $222,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, SimulationIndustries

Requirements

3+ years of experience with programming and algorithm design
Fluency in C++ and Python
Experience with modern 3D vision techniques like CNNs, Diffusion, and NeRF
Publications or production experience in human-centric 3D vision, reconstruction, or style transfer
Strong mathematical skills and understanding of probabilistic techniques

Responsibilities

Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity
Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator
Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation
Improve rendering and tooling for generating realistic data at scale

Skills

C++

Python

CNNs

Diffusion

NeRF

3D Vision

Generative Models

Houdini

Maya

Blender

Distributed Systems

Cloud Computing

3D Rendering

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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