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Reinforcement Learning Engineer Jobs in Massachusetts

Tutor

Senior Robotics Software Engineer

Watertown, MA · On-site

$133K - $175K/yr

... Reinforcement learning • Proficiency programming in a Python-Linux environment • Comfort with programming linters (Flake8, Mypy) • Software support of real-time systems • Visualization of ...

Career Site

Lead AI Engineer

Quincy, MA · On-site +1

$180K - $280K/yr

Developing and applying reinforcement learning strategies to optimize and automate decision-making ... Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch ...

Granite Telecommunications

Lead AI Engineer

Quincy, MA · On-site

$180K - $280K/yr

Developing and applying reinforcement learning strategies to optimize and automate decision-making ... Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch ...

Motional AD Inc.

Principal Engineer

Boston, MA · On-site

$240 - $330/hr

Experience with state of the art generative AI, and/or reinforcement learning paradigms * Proven ... Strong programming skills in C++ and/or CUDA programming Salary Range $240,000 -- $330,000 USD ...

New

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

As a Senior AI Engineer, you will design and build scalable backend systems and user experiences ... Experience in reinforcement learning. Company : Klaviyo is an automation and email platform ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

As a Senior AI Engineer, you will design and build scalable backend systems and user experiences ... Experience in reinforcement learning. Company : Klaviyo is an automation and email platform ...

Klaviyo

Senior AI Engineer - Customer Agent

Boston, MA · On-site

$113K - $155K/yr

They are seeking a Senior AI Engineer to design and build scalable backend systems for their AI ... Experience in reinforcement learning. Company : Klaviyo is an automation and email platform ...

Chewy

Principal Research Scientist

Woburn, MA

You will lead breakthrough work at the intersection of reinforcement learning, imitation learning ... You will partner closely with roboticists, controls engineers, ML engineers, software engineers ...

Socket.dev

Machine Learning Research Engineer

Cambridge, MA · On-site

$120 - $192.50/hr

This position is ideal for someone with broad expertise in machine learning, reinforcement learning ... Help advance the state of the art in context engineering, agentic AI and learning from human ...

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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 8, 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 Robotics Software Engineer

Tutor

Watertown, MA • On-site

$133K - $175K/yr

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Tutor is a company focused on developing general-purpose intelligent robots by integrating human and artificial intelligence. They are seeking a Senior Robotics Software Engineer to enhance their robots' capabilities through software development in areas such as robot vision, motion, and software systems.
Responsibilities:
• Improving 2D and 3D sensing capabilities
• Building visual representations of the world
• Geometric perception
• Perception of seen and unseen objects
• Supervised learningSelf supervised learning
• Control of robot arms
• Planning motion in the presence of obstacles
• Optimizing grasps and other basic manipulation primitives
• Motion planning
• Tools such as Drake, OMPL, KLAMPT, etc
• Multi roboti planning
• Reinforcement learning
• Proficiency programming in a Python-Linux environment
• Comfort with programming linters (Flake8, Mypy)
• Software support of real-time systems
• Visualization of robot data
• Advanced command of Python (dunder methods, lambdas, exception handling, decorators)
• Design and control of end effectors
• Experience integrating and programming robot arms
• Mechanical design of mounts and stands.
Qualifications:
Required:
• Proficiency programming in a Python-Linux environment
• Comfort with programming linters (Flake8, Mypy)
• Software support of real-time systems
• Visualization of robot data
• Advanced command of Python (dunder methods, lambdas, exception handling, decorators)
• Improving 2D and 3D sensing capabilities
• Building visual representations of the world
• Geometric perception
• Perception of seen and unseen objects
• Supervised learning
• Self supervised learning
• Control of robot arms
• Planning motion in the presence of obstacles
• Optimizing grasps and other basic manipulation primitives
• Motion planning
• Tools such as Drake, OMPL, KLAMPT, etc
• Multi robot planning
• Reinforcement learning
• Design and control of end effectors
• Experience integrating and programming robot arms
• Mechanical design of mounts and stands.
Company:
Tutor was founded to build the intelligence that lets machines see, learn, and act alongside people in the most complex, real-world production environments. Founded in 2021, the company is headquartered in Watertown, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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