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Reinforcement Learning Engineer Jobs in Massachusetts

Analogdevices

Senior Robot Learning Engineer

Wilmington, MA · On-site

$144K - $198K/yr

Senior Robot Learning Engineer The Dexterous AI Group (DAG) is looking for Robot Learning Engineers ... Reinforcement Learning and Imitation Learning for manipulation. * Planning and control algorithms ...

Analogdevices

Principal ML Engineer (Robotics)

Boston, MA · On-site

$200K - $275K/yr

Principal Machine Learning Engineer Target hire: Feb 2026 The Dexterous AI Group (DAG) is seeking ... Strong background in ML/AI, including Reinforcement Learning and Imitation Learning. * Expertise in ...

Analog Devices

Principal ML Engineer (Robotics)

Boston, MA · On-site

$200K - $275K/yr

Principal Machine Learning Engineer Target hire: Feb 2026 The Dexterous AI Group (DAG) is seeking ... Strong background in ML/AI, including Reinforcement Learning and Imitation Learning. * Expertise in ...

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All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Massachusetts

Reinforcement Learning Engineer information

See Massachusetts salary details

$41.5K

$126.5K

$209.1K

How much do reinforcement learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for reinforcement learning engineer in Massachusetts is $126,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $165,500.00 per year, depending on experience, location, and employer.

What is a reinforcement learning engineer?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

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

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What are some common challenges faced by reinforcement learning engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

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

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What are popular job titles related to Reinforcement Learning Engineer jobs in Massachusetts? For Reinforcement Learning Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Massachusetts look for? The top searched job categories for Reinforcement Learning Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Reinforcement Learning Engineer jobs? Cities in Massachusetts with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $126,538 per year, or $60.8 per hour.

Senior Robot Learning Engineer

Analogdevices

Wilmington, MA • On-site

$144K - $198K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

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 atwww.analog.comand onLinkedInandTwitter (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 US Citizens, 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: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe 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.

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