The Perception team at Zoox creates the eyes and ears of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting classifying tracking and understanding various attributes of surrounding objectsall in real-time and with exceptional accuracy.
As an engineer in the Scene Understanding team you will develop advanced
Vision-Language-Action (VLA) models that perceive our vehicles surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. Youll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors planning and other teams youll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.
In this role you will...
Design and train Vision-Language-Action (VLA) solutions for robotaxis
Lead end-to-end data strategy including mining auto-labeling and dataset construction to power our ML flywheel
Lead the full post-training stack for VLMs and VLAs including Continual Pre-training (CPT) on domain-specific driving data Supervised Fine-Tuning (SFT) for instruction following.
Utilize our large-scale data pipelines and ML infrastructure to research prototype and deploy solutions that improve driving behavior
Partner with cross-functional teams to integrate perception signals
Qualifications
MS or PhD in Computer Science or related field
Background in deep learning solutions for VLM and VLA models
Track record in post-training large-scale models CPT SFT RL
Hands-on experience with production ML pipelines including dataset creation training frameworks and metrics
Expertise in Python libraries (PyTorch NumPy Pandas VLLM)
Bonus Qualifications
Deep knowledge of cutting-edge computer vision techniques
Publications in top-tier conferences (CVPR ICCV RSS ICRA)
Experience with integrating large language models to various tasks.
$189000 - $290000 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:
Senior IC
The Perception team at Zoox creates the eyes and ears of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting classifying tracking and understanding various attributes of surrounding objectsall in real-time and with exceptional accuracy.As an engineer...
The Perception team at Zoox creates the eyes and ears of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting classifying tracking and understanding various attributes of surrounding objectsall in real-time and with exceptional accuracy.
As an engineer in the Scene Understanding team you will develop advanced
Vision-Language-Action (VLA) models that perceive our vehicles surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. Youll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors planning and other teams youll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.
In this role you will...
Design and train Vision-Language-Action (VLA) solutions for robotaxis
Lead end-to-end data strategy including mining auto-labeling and dataset construction to power our ML flywheel
Lead the full post-training stack for VLMs and VLAs including Continual Pre-training (CPT) on domain-specific driving data Supervised Fine-Tuning (SFT) for instruction following.
Utilize our large-scale data pipelines and ML infrastructure to research prototype and deploy solutions that improve driving behavior
Partner with cross-functional teams to integrate perception signals
Qualifications
MS or PhD in Computer Science or related field
Background in deep learning solutions for VLM and VLA models
Track record in post-training large-scale models CPT SFT RL
Hands-on experience with production ML pipelines including dataset creation training frameworks and metrics
Expertise in Python libraries (PyTorch NumPy Pandas VLLM)
Bonus Qualifications
Deep knowledge of cutting-edge computer vision techniques
Publications in top-tier conferences (CVPR ICCV RSS ICRA)
Experience with integrating large language models to various tasks.
$189000 - $290000 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:
Senior IC
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Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
