As a Staff ML Research Engineer on the Perception and 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 systems that allow our robots to operate safely around people.
Develop datasets, metrics, and validation plans for ML models.
Build, validate, and deploy ML models to detect hazards, humans, and other environmental features.
Integrate these models onto our robots' embedded systems to collect data and evaluate performance.
Work to improve model accuracy and run-time performance of models on specific hardware.
Lead cross-functional technical efforts involving interdisciplinary efforts to develop robotic systems.
Work closely with a small team to design and prototype new payloads, platforms, and product features which create safety features for our robots.
We are looking for:
5+ years of experience applying Deep Learning (ML) to perception or computer vision problems, ideally on embedded systems.
Deep knowledge of state of the art in related areas including human detection, autonomous vehicle and driver assist systems, and robot safety.
Experience developing and deploying modern Deep Learning architectures for time-sensitive control systems, such as robotics.
Experience working with perception sensor data, including stereo, LiDAR, radar, ToF, or IR data.
Experience developing specifications for perception systems from high-level product requirements.
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.
The base pay range for this position is between $151,284 to $208,015 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.
