Senior Staff Perception/ML Research Engineer at Boston Dynamics

Waltham, Minnesota, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

RoboticsIndustries

Requirements

7+ years of experience working with perception sensor data, including stereo, LiDAR, radar, ToF, or IR data
5+ years of experience applying ML to perception 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 ML-based perception software for time-sensitive control systems, such as robotics
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 leading cross-functional technical efforts through planning, technical requirement development, and interdisciplinary collaboration
History of working in small, interdisciplinary teams
Eligible to work in the United States (no visa sponsorship available)

Responsibilities

Help build the systems that allow 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 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 robots
Research, design, and build machine learning-based perception models and algorithms to run on robots
Help integrate algorithms into embedded systems intended to make robots safe and reactive
Chart a path by combining the best of ML with modern safety concepts and robot behavior, creating novel solutions

Skills

Key technologies and capabilities for this role

LiDARStereoRadarToFIRMachine LearningPerceptionEmbedded SystemsHuman DetectionDatasetsModel ValidationModel DeploymentRobotics

Questions & Answers

Common questions about this position

What experience is required for this Senior Staff Perception/ML Research Engineer role?

Candidates need 7+ years of experience working with perception sensor data including stereo, LiDAR, radar, ToF, or IR data, and 5+ years applying ML to perception problems, ideally on embedded systems. Additional requirements include deep knowledge of state-of-the-art in human detection, autonomous vehicles, and robot safety, plus experience with the full lifecycle of deep learning development.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the team environment like at Boston Dynamics for this role?

You will join a small cross-functional group on the Perception and Safety R&D Team, working closely with a small team to design and prototype new features in an environment that thrives on creativity and interdisciplinary collaboration.

What makes a strong candidate for this position?

Strong candidates have a history of leading cross-functional technical efforts, strong communication skills for documentation and presentations, and experience in small interdisciplinary teams, along with the specified technical expertise in perception and ML.

Boston Dynamics

Develops advanced robots for industrial applications

About Boston Dynamics

Boston Dynamics creates advanced robots that enhance human capabilities and safety, focusing on legged robots with high mobility, dexterity, and intelligence. Their flagship products, Spot and Pick, are designed for commercial, industrial, and research applications, performing tasks that are dangerous or physically demanding for humans. Spot, for example, is a 65-pound robot that can navigate complex terrains and avoid obstacles autonomously using built-in AI. Unlike many competitors, Boston Dynamics emphasizes responsible use of their robots, limiting sales to commercial and research clients and ensuring high-quality standards through domestic manufacturing. The company's goal is to improve safety and efficiency across various industries while exploring future consumer applications.

Waltham, MassachusettsHeadquarters

1992Year Founded

$38.8MTotal Funding

ACQUISITIONCompany Stage

Robotics & Automation, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

Competition from affordable Chinese robotics could pressure market share and pricing.

Layoffs indicate potential financial or strategic challenges impacting future innovation.

Collaboration with multiple stakeholders may lead to strategic misalignments.

Differentiation

Boston Dynamics excels in creating robots with advanced mobility and dexterity.

Their robots are designed for unstructured environments, enhancing workplace safety and efficiency.

Spot and Atlas are pioneering robots in digital transformation and mobile manipulation.

Upsides

Collaboration with Toyota and Hyundai boosts AI-powered humanoid robot development.

Patent resolution with Ghost Robotics opens collaboration on robotics policy and technology.

AI advancements in Atlas position Boston Dynamics as a humanoid robot market leader.

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