Senior Machine Learning Engineer - Perception
Foster City, CA
Zoox
Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing.
The Detection and Optimization team in Perception is responsible for designing neural network model architectures that act as the detection backbones for Zoox's sensor data. We work on incorporating state of the art language alignment strategies into the sensor modality backbones. This team helps Zoox advance faster into new geofences by making the models more generalizable and adaptable to new circumstances.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.
In this role, you will:
- Train machine learning models, perform various studies into incorporating state of the art approaches as well as ablations/modifications of existing models
- Document experimental outcomes and drive towards deploying these models into Zoox robots
- Collaborate with teams such as Machine Learning Optimization, Data Labeling, Verification and Validation, Motion Planning and Controls, and Prediction and Behavior to ensure the project is successful for Zoox releases
Qualifications
- Master's degree or PhD in computer science or related field and 8+ years of experience in a related field
- Fluency in C++ and/or Python
- Experience with modern computer vision techniques and machine learning
- Extensive experience with programming and algorithm design and handling large data sets efficiently
- Demonstrated ability to create functional systems that solve difficult perception tasks
Bonus Qualifications
- Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
- Experience with autonomous robots
- Experience with sensor fusion (e.g. LiDAR, camera, radar)
- Experience with novel pipelines and architectures for convolutional neural nets and Vision Transformers
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
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Tags: Architecture Computer Science Computer Vision Lidar Machine Learning ML models PhD Pipelines Python Radar Robotics Transformers
Region:
North America
Country:
United States
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