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Reinforcement Learning Robotics Jobs in Massachusetts

Analog Devices, Inc.

Senior Robot Learning Engineer

Boston, MA · On-site

$144K - $198K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong background in machine learning and robotics, and experience in: * Reinforcement Learning and Imitation Learning for manipulation. * Planning and control algorithms (e.g., A*, MPC)

Analogdevices

Senior Robot Learning Engineer

Boston, MA

$144K - $198K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong background in machine learning and robotics, and experience in: * Reinforcement Learning and Imitation Learning for manipulation. * Planning and control algorithms (e.g., A*, MPC)

Analog Devices

Senior Robot Learning Engineer

Boston, MA · On-site

$144K - $198K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong background in machine learning and robotics, and experience in: * Reinforcement Learning and Imitation Learning for manipulation. * Planning and control algorithms (e.g., A*, MPC)

Analogdevices

Senior Robot Learning Engineer

Wilmington, MA

$144K - $198K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong background in machine learning and robotics, and experience in: * Reinforcement Learning and Imitation Learning for manipulation. * Planning and control algorithms (e.g., A*, MPC)

Chewy

Principal Research Scientist

Woburn, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define and lead Chewy's scientific roadmap for embodied AI and humanoid robot learning, with emphasis on reinforcement learning, imitation learning, VLA-style policy learning, and modern control ...

Chewy

Principal Research Scientist

Woburn, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define and lead Chewy's scientific roadmap for embodied AI and humanoid robot learning, with emphasis on reinforcement learning, imitation learning, VLA-style policy learning, and modern control ...

Bostondynamics

Staff, ML Research Scientist

Waltham, MA

$154K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... learning models that will enable our robots to operate safely around people. Every day you will ... Deep Reinforcement Learning. * Knowledge of state of the art work in related areas of computer ...

Boston Dynamics

Staff, ML Research Scientist

Waltham, MA · On-site

$154K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... learning models that will enable our robots to operate safely around people. Every day you will ... Deep Reinforcement Learning. * Knowledge of state of the art work in related areas of computer ...

Motional

Senior Machine Learning Engineer, Data Mining

Boston, MA · On-site

$133K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Reinforcement Learning for Data Discover : Build RL-based policy learning and reasoning systems for ... Background in autonomous driving, robotics, or real-time decision-making systems. * Familiarity ...

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Reinforcement Learning Robotics information

What are some common challenges faced when implementing reinforcement learning algorithms in robotics projects?

One common challenge in this role is bridging the gap between simulation and real-world environments, as algorithms that perform well in simulation may not translate directly to physical robots due to unpredictable variables and hardware limitations. Additionally, ensuring the safety and stability of the robot during training is crucial, since trial-and-error learning can sometimes result in unintended behaviors or hardware damage. Collaboration with hardware engineers and domain experts is often necessary to fine-tune models, interpret results, and iterate on solutions. Overcoming these challenges requires patience, adaptability, and strong communication skills within a multidisciplinary team.

What are the key skills and qualifications needed to thrive as a reinforcement learning robotics engineer, and why are they important?

To thrive as a Reinforcement Learning Robotics Engineer, you need a strong background in robotics, machine learning, and programming, typically supported by a degree in computer science, engineering, or a related field. Expertise with frameworks like TensorFlow or PyTorch, experience with simulation environments (such as Gazebo or ROS), and familiarity with reinforcement learning algorithms are essential. Strong problem-solving skills, creativity, and effective communication set standout professionals apart in this rapidly evolving field. These skills enable engineers to develop intelligent robotic systems that adapt and learn efficiently, driving innovation and practical deployment in real-world environments.

What is reinforcement learning in robotics?

Reinforcement learning in robotics refers to a type of machine learning where robots learn to perform tasks through trial and error, receiving feedback from their actions in the form of rewards or penalties. This approach allows robots to autonomously develop complex behaviors by interacting with their environment, rather than relying solely on pre-programmed instructions. Reinforcement learning is especially useful for tasks that are difficult to model explicitly, such as walking, grasping, or navigation. Over time, the robot improves its performance by maximizing the cumulative reward, leading to more efficient and adaptive behaviors.

What is the difference between Reinforcement Learning Robotics vs Machine Learning Engineer?

AspectReinforcement Learning RoboticsMachine Learning Engineer
Required CredentialsDegree in Robotics, Computer Science, or related fields; knowledge of reinforcement learningDegree in Computer Science, Data Science, or related fields; expertise in machine learning algorithms
Work EnvironmentRobotics labs, manufacturing, autonomous systemsTech companies, data-driven projects, software development
Industry UsageAutonomous robots, industrial automation, researchData analysis, predictive modeling, AI applications

Reinforcement Learning Robotics focuses on applying reinforcement learning techniques to control and optimize robotic systems, often in physical environments. Machine Learning Engineers develop algorithms for a broad range of applications, including data analysis and predictive modeling. While both roles require knowledge of machine learning, Reinforcement Learning Robotics emphasizes robotics and real-world interaction, whereas Machine Learning Engineers work across various industries with software-based solutions.

What are popular job titles related to Reinforcement Learning Robotics jobs in Massachusetts?

For Reinforcement Learning Robotics jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning Robotics jobs in Massachusetts look for?

The top searched job categories for Reinforcement Learning Robotics jobs in Massachusetts are:

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Cities in Massachusetts with the most Reinforcement Learning Robotics job openings:

Reinforcement Learning Robotics jobs near you

Senior Robot Learning Engineer

Analog Devices, Inc.

Boston, MA • On-site

$144K - $198K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Analog Devices rating

8.5

Company rating: 8.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

33rd of 157 rated electronics manufacturers

Job description

About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible . Learn more at and on LinkedIn and Twitter (X).
Senior Robot Learning Engineer
The Dexterous AI Group (DAG) is looking for Robot Learning Engineers to develop core AI technologies for Analog Devices' future AI robotics with generality and dexterity, beyond the reach of traditional algorithms and system innovations, with a strong emphasis on bridging simulation and real-world robotic performance.
Responsibilities include:
  • Contribute the development of advanced learning algorithms for general and dexterous robot using the state-of-the-art techniques.
  • Create sandbox simulations, deployable implementations, and evaluation frameworks for algorithm performance and robustness.
  • Contribute to data requirements, data collection setup and procedure, and data curation.
  • Stay abreast of the latest developments in machine learning and robotics from reputable groups.

Qualifications:
  • Master's degree or equivalent experience, Ph.D. is preferred.
  • 3+ years of research experience in robot learning.
  • Strong background in machine learning and robotics, and experience in:
    • Reinforcement Learning and Imitation Learning for manipulation.
    • Planning and control algorithms (e.g., A*, MPC).
    • Optimization techniques (e.g., linear/nonlinear optimization).
    • Training deep learning models with PyTorch and familiarity with large multi-modal datasets and models.
  • A track record of relevant publications in top international conferences (RSS, NeuRIPS, ICML, ICLR, CoRL, ICRA, IROS, ...)
  • Preferred: familiarity with
    • foundation models and large language models.
    • robotics toolkits (e.g., ROS/ROS2, Mujoco, Isaac)
    • robotic systems and mechanical design

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except s, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
The expected wage range for a new hire into this position is $144,000 to $198,000.
  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

What Analog Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Analog Devices

Sourced by ZipRecruiter

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Norwood, MA, US

Year founded

1965

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