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Deep Reinforcement Learning Jobs in Massachusetts

Chewy

Principal Research Scientist

Woburn, MA

Deep expertise in several of the following areas * reinforcement learning * imitation learning or behavior cloning * offline RL or policy improvement from logged data * vision-language-action models ...

Chewy

Principal Research Scientist

Woburn, MA · On-site

Deep expertise in several of the following areas * reinforcement learning * imitation learning or behavior cloning * offline RL or policy improvement from logged data * vision-language-action models ...

Analogdevices

Senior Robot Learning Engineer

Boston, MA

$144K - $198K/yr

Reinforcement Learning and Imitation Learning for manipulation. * Planning and control algorithms (e.g., A*, MPC). * Optimization techniques (e.g., linear/nonlinear optimization). * Training deep ...

Analog Devices

Senior Robot Learning Engineer

Boston, MA · On-site

$144K - $198K/yr

Reinforcement Learning and Imitation Learning for manipulation. * Planning and control algorithms (e.g., A*, MPC). * Optimization techniques (e.g., linear/nonlinear optimization). * Training deep ...

XPO

Senior Scientist, Data Science - Hybrid

Boston, MA · On-site

$106K - $132K/yr

Experience with reinforcement learning for pricing optimization, decision-making, and consumer ... Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep ...

Motional

Director, Prediction and ML Planning

Boston, MA · On-site +1

$288K - $396K/yr

Deep theoretical and practical proficiency in machine learning applied to robotics behaviors. Advanced expertise in Imitation Learning and Reinforcement Learning for decision-making. Strong ...

Motional

Director, Prediction and ML Planning

Boston, MA · On-site +1

$288K - $396K/yr

Deep theoretical and practical proficiency in machine learning applied to robotics behaviors. Advanced expertise in Imitation Learning and Reinforcement Learning for decision-making. Strong ...

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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 Aug 6, 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 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 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 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 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $63,722 per year, or $30.6 per hour.

Principal Engineer, Team Lead - Behaviors

Motional

Boston, MA • On-site

Other

Re-posted 29 days ago

Job description

On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. 

We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:
  • Define and execute motion planning and prediction projects that improve our self-driving vehicles' capability to safely, comfortably and legally navigate complex traffic scenarios
  • Lead, manage and grow a team of engineers
  • Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
  • Productionize and deploy solutions onto autonomous vehicle fleets
  • Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products' on-road performance
  • Communicate strategies, progress and challenges to executive leadership
What We're Looking for:
  • Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
  • Proven leadership skills at executing large, complex technical initiatives
  • Extensive experience managing and leading engineers
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Fluency in Python, including standard scientific computing libraries
  • Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods 
  • Excellent communication and interpersonal skills
Bonus Points:
  • Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
  • Experience with state of the art generative AI, and/or reinforcement learning, paradigms
  • Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
  • Strong programming skills in C++ and/or CUDA programming

Apply