Machine Learning Engineer, Simulation Scenario Generation at Zoox

Foster City, California, United States

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$151,000 – $257,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Robotics, SimulationIndustries

Requirements

MS or PhD in Computer Science, Machine Learning, or related field
2+ years of industry experience in Machine Learning
Solid understanding of LLM or NLP concepts
Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects
Bonus Qualifications
Practical experience in dataset creation for fine-tuning
System integration of ML models into production
Optimization techniques for low-latency inference systems
Familiarity with autonomous vehicles, robotics, and/or complex simulation environments
Hands-on experience in program synthesis, diffusion models, and/or formal methods/V&V
Relevant publications in conferences (e.g., CVPR, ICCV, RSS, ICRA)

Responsibilities

Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like advanced prompting, agentic tool use, and more
Contribute to tooling for AI-based scenario understanding and validation
Collect data and design metrics to drive business intelligence, product iteration, and model fine-tuning
Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows
Directly contribute to the safety and reliability of Zoox's autonomous software

Skills

Python

PyTorch

NumPy

LLMs

VLMs

NLP

Prompt Engineering

Agentic Tool Use

Dataset Creation

Model Fine-tuning

Low-Latency Inference

Diffusion Models

Program Synthesis

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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