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!
How you will make an impact:
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.
We are looking for:
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.
We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this position.
The pay range for this position is between $173,732 - $225,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and a annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.
Skills Required
- 7+ years of experience in Deep Learning applied to real-world computer vision problems
- Experience with modern Deep Learning architectures
- Knowledge of state of the art in human detection and autonomous systems
- Experience in the full lifecycle of deep learning development
- Strong communication skills for technical documentation and presentations
- History of working in small interdisciplinary teams
What We Do
Boston Dynamics builds advanced mobile manipulation robots with remarkable mobility, dexterity perception and agility. We use sensor-based controls and computation to unlock the potential of complex mechanisms. Our world-class development teams develop prototypes for wild new concepts, do build-test-build engineering and field testing and transform successful designs into robot products. Our goal is to change your idea of what robots can do.
