Manager Perception
Manager Perception
Posted on :
26-04-2025
Employer Active
1 Vacancy
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Monthly Salary
$ 221000 - 319000
Vacancy
1 Vacancy
Posted on :
26-04-2025
Job Description
The Perception team at Zoox is responsible for developing the eyes and ears of our self driving car. Navigating safely and competently in the world requires us to detect classify track and understand several different attributes of all the objects around us that we might interact with all in real time and with very high precision.
As a member of the Perception team at Zoox you will be responsible for developing and improving state of the art machine learning techniques for doing everything from 2D/3D object detection panoptic segmentation tracking to attribute classification. You will be working not just with our team of talented engineers and researchers in perception but cross functionally with several teams including sensors prediction and planning and you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms.
Responsibilities
- You will lead a team of ML engineers on the Perception team leveraging technical and managerial skills to deliver highimpact results
- You will set the short and long term technical direction for the team and collaborate on the broader companywide directions
- You will grow the team through hiring and guide the continued professional development of team members
- You will collaborate with engineers on the other parts of Perception including Verification & Validation Optimization Labeling tools as well as Prediction and Planner to solve the overall Autonomous Driving problem in complex urban environments
- You will coordinate crossfunctional initiatives with other teams across Data Science Systems Design and Mission Assurance QA and more
Qualifications
- MS or PhD degree in computer science or related field
- Experience with training and deploying Deep Learning models
- Experience with production Machine Learning pipelines: dataset creation training frameworks metrics pipelines
- Extensive experience with programming and algorithm design
- Strong mathematics skills
- Experience with ML Python libraries like PyTorch TensorFlow NumPy Pandas etc.
Bonus Qualifications
- Fluency in C and python
- Publications in your field (CVPR ICCV RSS ICRA preferred)
- Experience with autonomous robots
- Experience with realtime sensor fusion (e.g. LiDAR camera radar)
- Experience with 3D data and representations (pointclouds meshes etc.
- Experience with nonlinear non Gaussian multi hypotheses tracking
- Experience with probabilistic representations of neural networks output
- Experience with novel pipelines and architectures for convolutional neural nets
- Experience with weighted nonlinear least square estimation like GTSAM
Compensation
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. The salary will range from $221000$319000. A signon bonus may be part of a compensation package. Compensation will vary based on geographic location jobrelated knowledge skills and experience.
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 longterm care insurance longterm and shortterm disability insurance and life insurance.
About Zoox
Zoox is developing the first groundup 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 mobilityasaservice in urban environments. Were looking for top talent that shares our passion and wants to be part of a fastmoving and highly executionoriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter.
A Final Note:
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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