Senior Machine Learning Engineer - Perception Labeling at Zoox

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous VehiclesIndustries

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
5+ years of experience in software engineering and data-driven ML development
Experience with data management tools and frameworks
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

Responsibilities

Collaborate with ML engineers to research, implement, or improve auto-labeling algorithms to generate auto-labeled data for model training and prototyping
Work with ML engineers and data scientists to evaluate auto-label data quality and seek a feedback loop to continuously improve model performance
Work with other software engineers in the team to integrate auto-label datasets and pipelines into the Dataloop platform to deliver impact on end-to-end data-driven ML development
Continuously define problems and opportunities to iterate the application with a visionary product roadmap that keeps stakeholders on the same page
Stay up-to-date with the latest trends and technologies in autonomous driving perception and machine learning, especially auto-labeling and unsupervised learning

Skills

Machine Learning

Auto-labeling

Active Learning

CLIP

Data Pipelines

Dataset Management

Unsupervised Learning

Perception

Labeling Platforms

Data Mining

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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