About this role
The Object Detection and Tracking team at Zoox deals with the perception of all people and objects that can move. Your role is to work on the ML model team to develop detection and tracking models and to integrate them into the vehicle stack.
In this role, you will have access to the world's best sensor data and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for detection, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
• Define on-vehicle architecture for producing the core tracking results from the Perception stack. (Senior) • Assist with the implementation of core tracking results from the Perception stack (Junior) • Work with both the model and data teams to develop a high-performance, efficient model that can run on a vehicle. • Work with Perception data, both on the input and output of machine learning models
• BS or higher in Computer Science or a related degree • Familiarity with modern, Sparse-BEV Joint Detection and Tracking models. • Hands-on experience with production ML pipelines, including dataset creation, metrics, and optimization • Experience in Python, PyTorch, or a related ML framework
• Experience with CUDA code and/or TensorRT • Strong mathematical skills and understanding of probabilistic techniques • Experience implementing tracking systems
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
In this role, you will have access to the world's best sensor data and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for detection, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Follow us on LinkedIn
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
• Define on-vehicle architecture for producing the core tracking results from the Perception stack. (Senior) • Assist with the implementation of core tracking results from the Perception stack (Junior) • Work with both the model and data teams to develop a high-performance, efficient model that can run on a vehicle. • Work with Perception data, both on the input and output of machine learning models
• BS or higher in Computer Science or a related degree • Familiarity with modern, Sparse-BEV Joint Detection and Tracking models. • Hands-on experience with production ML pipelines, including dataset creation, metrics, and optimization • Experience in Python, PyTorch, or a related ML framework
• Experience with CUDA code and/or TensorRT • Strong mathematical skills and understanding of probabilistic techniques • Experience implementing tracking systems
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Tech stack
PythonPyTorch
About Zoox, Incorporated
Zoox, Incorporated is hiring for the senior machine learning engineer - perception detection and tracking role. NewJob aggregates active openings directly from Zoox, Incorporated's applicant tracking system, so this listing is current.
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