Senior/Staff Machine Learning Engineer, 3D Simulation at Zoox

Seattle, Washington, United States

Zoox Logo
$190,000 – $285,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Vehicles, Simulation, TechnologyIndustries

Requirements

  • 7+ 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 position?

The salary ranges from $190,000 to $285,000. Compensation also includes Amazon RSUs, Zoox Stock Appreciation Rights, and may include a sign-on bonus.

Is this a remote position, or is there a specific location requirement?

This information is not specified in the job description.

What skills are required for this Machine Learning Engineer role?

Required skills include 7+ 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 is the company culture like at Zoox?

Zoox is a fast-moving and highly execution-oriented team at the intersection of robotics, machine learning, and design, developing fully autonomous vehicle fleets.

What makes a strong candidate for this role?

Strong candidates have 7+ years of programming experience, fluency in C++ and Python, expertise in 3D vision techniques like CNNs, Diffusion, and NeRF, relevant publications, and strong math skills. Bonus qualifications include advanced degrees, publications in top conferences, experience with generative 3D models, 3D tools like Houdini or Blender, distributed systems, 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.

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