Machine Learning Engineer, 3D Simulation at Zoox

Seattle, Washington, United States

Apply Now

$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

Key technologies and capabilities for this role

C++PythonCNNsDiffusionNeRF3D VisionGenerative ModelsHoudiniMayaBlenderDistributed SystemsCloud Computing3D Rendering

Questions & Answers

Common questions about this position

What is the salary range for this Machine Learning Engineer position?

The salary ranges from $134,000 to $222,000, with compensation also including Amazon RSUs, Zoox Stock Appreciation Rights, and possibly a sign-on bonus.

What are the required qualifications for this role?

Candidates need 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, and strong mathematical skills with understanding of probabilistic techniques.

What benefits does Zoox offer for this position?

Zoox offers a comprehensive benefits package including paid time off (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.

Is this position remote or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this Machine Learning Engineer role?

Strong candidates will have a Bachelor's, Master's, or PhD in computer science, mathematics, physics, or related field, publications in top conferences like CVPR, ICCV, RSS, or ICRA, experience with generative models for 3D content, automating 3D pipelines with tools like Houdini, Maya, or Blender, distributed systems, cloud computing, and 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.

Land your dream remote job 3x faster with AI

Try Jobo Free