The Perception team at Zoox is fundamental to our autonomous vehicle technology creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection classification and tracking systems.
We are seeking highly motivated engineers who thrive on solving complex real-world challenges and driving technical initiatives end to this role you will serve as a technical lead within a diverse collaborative team focused on building scalable HD mapping algorithms systems and data pipelines.
As a Machine Learning Engineer on the Perception HD Mapping team you will play a key role in advancing our 3D mapping capabilities. High-definition 3D maps are foundational to achieving fully autonomous driving enabling safe and reliable navigation at scale. Your leadership will be instrumental as we accelerate the expansion to new cities and significantly increase the speed and frequency of map updates ensuring our mapping infrastructure scales efficiently with growing operational demands.
In this role you will...
Design and develop novel algorithms and ML models for 2D/3D machine perception and mapping in real-world environments
Contribute to large-scale automated mapping pipelines
Be a technical leader on the team maintaining coding and ML development best practices and making architectural decisions
Help to set the vision for the team and build out technical roadmaps
Coordinate cross-functional initiatives and collaborate with engineers from Mapping Perception Planner Simulation Data Science and more
Drive the use of metrics and tools to guide development validate algorithms and measure progress
Qualifications
MS or PhD or equivalent experience (7 years) in Computer Science or related field
Experience in computer vision or robotics
Experience with training and deploying deep learning models
Proficiency in Python and/or C
Experience leading cross-functional projects
Bonus Qualifications
Experience with high definition (HD) maps
Experience with 3D computer vision 3D reconstruction or SLAM
Experience with geospatial data and coordinate systems
$242000 - $333000 a year
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 candidates 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.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
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. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
The Perception team at Zoox is fundamental to our autonomous vehicle technology creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection classification and tracking systems.We are seeking high...
The Perception team at Zoox is fundamental to our autonomous vehicle technology creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection classification and tracking systems.
We are seeking highly motivated engineers who thrive on solving complex real-world challenges and driving technical initiatives end to this role you will serve as a technical lead within a diverse collaborative team focused on building scalable HD mapping algorithms systems and data pipelines.
As a Machine Learning Engineer on the Perception HD Mapping team you will play a key role in advancing our 3D mapping capabilities. High-definition 3D maps are foundational to achieving fully autonomous driving enabling safe and reliable navigation at scale. Your leadership will be instrumental as we accelerate the expansion to new cities and significantly increase the speed and frequency of map updates ensuring our mapping infrastructure scales efficiently with growing operational demands.
In this role you will...
Design and develop novel algorithms and ML models for 2D/3D machine perception and mapping in real-world environments
Contribute to large-scale automated mapping pipelines
Be a technical leader on the team maintaining coding and ML development best practices and making architectural decisions
Help to set the vision for the team and build out technical roadmaps
Coordinate cross-functional initiatives and collaborate with engineers from Mapping Perception Planner Simulation Data Science and more
Drive the use of metrics and tools to guide development validate algorithms and measure progress
Qualifications
MS or PhD or equivalent experience (7 years) in Computer Science or related field
Experience in computer vision or robotics
Experience with training and deploying deep learning models
Proficiency in Python and/or C
Experience leading cross-functional projects
Bonus Qualifications
Experience with high definition (HD) maps
Experience with 3D computer vision 3D reconstruction or SLAM
Experience with geospatial data and coordinate systems
$242000 - $333000 a year
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 candidates 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.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
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. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
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