Sr. Staff, ML Engineer R&D
About The Position
As a Sr. Staff ML Research Engineer on the Machine Learning Safety R&D Team, you will join a small cross-functional group developing machine learning models that will enable our robots to operate safely around people. Every day you will help research, design, and build machine learning-based perception & behavior models and algorithms to run on our robots. Your work will enable our robots to understand their environment and recognize humans. You will help integrate your algorithms into embedded systems intended to make our robots safe and reactive. In this role you will chart a path by combining the best of ML with modern safety concepts and robot behavior, ultimately creating novel solutions to one of the most important problems in robotics. If you are creative, thrive in a small team environment, and passionate about a world where humans and robots truly work together - come join us!
Requirements
- 7+ years of experience applying Deep Learning (ML) to scalable real world problems in computer vision or related modalities such as stereo vision, LiDAR, or radar.
- Experience in the full modeling cycle from research to deployment of modern Deep Learning architectures such as transformers, VLMs/VLAs, and Deep Reinforcement Learning.
- Knowledge of state of the art in related areas including human detection, autonomous vehicle and driver assist systems, and robot safety.
- Experience with the full lifecycle of deep learning development, including network design, data management, training, evaluation, hyperparameter search, deployment, and validation.
- Strong communication skills, including ability to author technical documentation and deliver presentations on technical topics.
- History of working in small, interdisciplinary teams.
- Eligible to work in the United States.
Responsibilities
- Help build the models which allow our robots to operate safely around people.
- Build, validate, and deploy ML models to detect hazards, humans, and other environmental features.
- Develop datasets, metrics, and validation plans for ML models.
- Work to improve model accuracy and run-time performance of models on specific hardware.
- Work closely with a small team to design and prototype new deep learning based perception and behavior models which create safety features for our robots.
Benefits
- medical
- dental
- vision
- 401(k)
- paid time off
- annual bonus structure
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
