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Deep Reinforcement Learning Jobs in Massachusetts

TetraScience

Senior Applied AI/ML Engineer

Cambridge, MA · On-site

$150K - $240K/yr

ML reinforcement learning, fine tuning, or automated retraining; LLM agentic governance including guardrails and evaluations Preferred Qualifications * Degree in AI or ML * Deep understanding of ...

TetraScience

Senior Applied AI/ML Engineer

Cambridge, MA · On-site

$150K - $240K/yr

ML reinforcement learning, fine tuning, or automated retraining; LLM agentic governance including guardrails and evaluations Preferred Qualifications * Degree in AI or ML * Deep understanding of ...

TetraScience

Senior Applied AI/ML Engineer

Cambridge, MA · On-site

$150K - $240K/yr

ML reinforcement learning, fine tuning, or automated retraining; LLM agentic governance including guardrails and evaluations Preferred Qualifications * Degree in AI or ML * Deep understanding of ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases.

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases.

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Deep Reinforcement Learning information

See Massachusetts salary details

$31.1K

$63.7K

$87.4K

How much do deep reinforcement learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for deep reinforcement learning in Massachusetts is $63,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $74,300.00 per year, depending on experience, location, and employer.

What is deep reinforcement learning?

A Deep Reinforcement Learning (DRL) job involves researching, developing, and applying AI models that use reinforcement learning techniques combined with deep learning. Professionals in this role design algorithms that enable agents to learn optimal decision-making policies through trial and error. Common applications include robotics, game AI, autonomous systems, and financial modeling. This job typically requires expertise in machine learning, neural networks, and programming languages like Python, along with frameworks such as TensorFlow or PyTorch.

What does a typical day look like for someone working in deep reinforcement learning?

A typical day for a Deep Reinforcement Learning professional involves designing algorithms, running experiments, analyzing results, and optimizing models to improve performance. You may collaborate regularly with data scientists, software engineers, and domain experts to integrate RL solutions into larger systems or products. Tasks often include reading the latest research, contributing to code reviews, and documenting findings while troubleshooting technical challenges. This dynamic environment encourages continuous learning and teamwork, ensuring you stay at the forefront of AI innovation.

What are the key skills and qualifications needed to thrive in deep reinforcement learning?

To thrive in Deep Reinforcement Learning, you need expertise in machine learning, programming (Python, TensorFlow, or PyTorch), and applied mathematics, often supported by an advanced degree in computer science or a related field. Familiarity with version control systems, cloud computing platforms, and relevant certifications in AI or data science are valuable assets. Strong problem-solving abilities, collaboration, and effective communication are important soft skills in this position. These skills are essential for developing, implementing, and iterating cutting-edge algorithms that solve complex real-world problems in dynamic environments.

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

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

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

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

Deep Reinforcement Learning jobs near you
Infographic showing various Deep Reinforcement Learning job openings in Massachusetts as of August 2026, with employment types broken down into 59% Full Time, 16% Part Time, and 25% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $63,722 per year, or $30.6 per hour.

Senior Robot Learning Engineer

Analogdevices

Wilmington, MA • On-site

$144K - $198K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Analog Devices rating

8.7

Company rating: 8.7 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

18th of 159 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 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.

What Analog Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

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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

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