Machine Learning Engineer Intern, Simulation at Zoox

Seattle, Washington, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Autonomous Vehicles, Robotics, TechnologyIndustries

Requirements

Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program
Must be returning to school to continue your education upon completing this internship
Good academic standing
Able to commit to a 12-week internship beginning in May or June of 2026
At least one previous industry internship, co-op, or project completed in a relevant area
Ability to relocate to the Bay Area, California or Seattle for the duration of the internship
Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox
Fluency in C++ and/or Python, as well as a strong understanding of data structures and algorithms
Strong skills in mathematics, particularly linear algebra
Experience with large-scale code projects

Responsibilities

On the 3D World Sim team: Extend the simulation pipeline to reproduce dynamic actors accurately in simulation; research and evaluate various reconstruction algorithms and integrate the most promising into the simulation framework
On the Agent Simulation team: Develop and improve models that realistically simulate the behavior of other road agents like pedestrians and vehicles; leverage software engineering and machine learning skills to ensure simulated agents exhibit a wide range of plausible and representative human behaviors
On the 3D Sensor Simulation team: Help create high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation; develop 3D ML models and training datasets for 3D sensor simulation using modern machine learning architectures; collaborate with the Sensors, Perception, and Validation teams to evaluate and iteratively improve the fidelity of sensor simulation
On the Scenario Authoring team: Help create agentic AI systems capable of generating novel scenarios for validating the safety and performance of Zoox's autonomous driving technology; leverage software engineering and machine learning skills to gather data, fine-tune existing diffusion/foundation models, add new capabilities to the LLM agent, and evaluate success against customer requirements
On the Scenario Automation team: Help build scenario generation and analysis tools used to evaluate robot behavior via simulation; leverage software engineering and machine learning skills to recreate high-fidelity simulation scenarios from recorded real-world driving data

Skills

Key technologies and capabilities for this role

Machine LearningSimulation3D ReconstructionPythonSoftware EngineeringDeep LearningSensor SimulationAutonomous DrivingAI ModelsData Pipelines

Questions & Answers

Common questions about this position

What are the eligibility requirements for this Machine Learning Engineer Intern position?

Candidates must be currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program and must be returning to school to continue education upon completing the internship. The program is reserved for those demonstrating outstanding academic performance, activities outside coursework, aptitude, curiosity, and passion for Zoox's mission.

What skills are needed for the Machine Learning Engineer Intern role on the Simulation team?

The role requires software engineering and machine learning skills, including researching reconstruction algorithms, developing agent behavior models, creating 3D ML models, fine-tuning diffusion/foundation models, and working with LLMs.

What teams might I work on as a Simulation MLE Intern at Zoox?

You may be assigned to the 3D World Sim team, Agent Simulation team, 3D Sensor Simulation team, Scenario Authoring team, or Scenario Automation team, each focusing on different aspects of simulation for autonomous vehicles.

What is the employment type for this Machine Learning Engineer Intern position?

This is an Internship/Co-op position.

Is compensation or salary mentioned for the Zoox Machine Learning Engineer Intern role?

This information is not specified in the job description.

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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