Engineering Manager, ML Training Platform at Zoox

Foster City, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Artificial IntelligenceIndustries

Requirements

8+ years of total experience, including 3+ years of engineering management experience
Excellent leadership skills with a demonstrated ability to build and manage high-performing engineering teams
Experience enabling large-scale, cost-efficient distributed model training and ML compute infrastructure
Experience with training frameworks such as PyTorch, Hugging Face, Ray, DeepSpeed, JAX, etc., leveraging GPUs, TPUs, or Trainium
Experience building model lifecycle management tools and managing AWS costs for ML needs

Responsibilities

Develop and execute a strategic vision for the ML training platform, ensuring scalability, reliability, and performance to support large-scale Foundation and RL models
Lead the design, implementation, and operation of a robust and efficient ML training platform to enable the training, experimentation, validation, and monitoring of ML models
Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence
Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers to define requirements and align on architectural decisions
Enable the engineers in the team to grow their careers by providing the right opportunities along with clear and timely feedback

Skills

Deep Learning

Distributed Training

ML Platform

Reinforcement Learning

Foundation Models

Model Lifecycle Management

Software Engineering

Infrastructure

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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