Sr. Machine Learning Engineer, Prediction
Serve Robotics$175,000 - $230,000/year
- Full Time
- Senior (5 to 8 years)
$210,000 – $303,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Robotics & Automation, Automotive & TransportationIndustries
Requirements
Candidates must hold a BS, MS, or PhD degree in computer science or a related field. They should have experience with training and deploying transformer-based model architectures and production machine learning pipelines, including dataset creation and metrics pipelines. Fluency in C++ or Python with a basic understanding of C++ is required, along with extensive experience in programming and algorithm design. Strong mathematics skills are essential, and bonus qualifications include conference or journal publications in machine learning or robotics, as well as prior experience with prediction and/or autonomous vehicles or robotics.
Responsibilities
As a Prediction Machine Learning Engineer, you will develop new algorithms to model the future behavior of agents in the world. You will leverage large-scale machine learning infrastructure to discover new solutions and advance the field. Additionally, you will develop metrics and tools to analyze errors and understand system improvements, and collaborate with engineers on perception, planning, and simulation to address the overall autonomous driving problem in complex urban environments.
Skills
C++
Python
Machine Learning
Transformer Models
Algorithm Design
Data Pipelines
Metrics
Robotics
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