Machine Learning Engineer - Perception Attributes 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

MS/PhD in Computer Science or related fields
Minimum of 5 years of relevant experience
Experience with training and deploying Deep Learning models
Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
Fluency programming in Python
Extensive experience [Details missing - likely related to specific ML techniques or tools]

Responsibilities

Work with Data Labeling and Ontology teams on data labeling and ontology definitions of road users in different attributes
Lead the development of sophisticated behavioral models for vehicles, pedestrians, and cyclists
Create and maintain Perception attribute models that generate essential signals for autonomous vehicles to understand and predict the behavior of other road users
Collaborate closely with Prediction and Planning teams to optimize model outputs, directly influencing autonomous driving decisions

Skills

Python

Deep Learning

Machine Learning Pipelines

Dataset Creation

Training Frameworks

Metrics Pipelines

Data Labeling

Ontology

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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