Sr. Machine Learning Engineer, Prediction
Serve Robotics175,000 - 230,000 USD/year
- Full Time
- Senior (5 to 8 years)
$221,000 – $319,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Robotics & Automation, Enterprise SoftwareIndustries
Requirements
Candidates should have a Master's or PhD degree in computer science or a related field and at least 7 years of relevant experience. Fluency in modern C++ standards, programming, and software design principles is required, along with strong knowledge of algorithmic design, implementation, and optimization. Prior experience or expertise in machine learning, either in model architecture or production data pipelines, is essential. Demonstrated ability to communicate and collaborate cross-functionally is also necessary.
Responsibilities
The Senior/Staff Software Engineer will work closely with Prediction and Planner teams to integrate advanced ML models and develop first-principles based safeguards for trustworthy prediction and decision making. They will inform and guide the development of new ML models and address issues in the model and data pipelines. The engineer will design interfaces between prediction and planning, creating abstraction layers for modular integration of machine learned components. They will create algorithmic improvements to driving behavior and implement those changes in the code base, facilitating collaborations between prediction data/modeling teams and planning and control teams to deliver architectural changes.
Skills
C++
Algorithmic Design
Machine Learning
Model Architecture
Data Pipelines
Programming
Software Design Principles
Collaboration
Motion Planning
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.
Key Metrics
Menlo Park, CaliforniaHeadquarters
2014Year Founded
$1,206.2MTotal Funding
ACQUISITIONCompany Stage
Automotive & Transportation, Energy, AI & Machine LearningIndustries
1,001-5,000Employees