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Deep Reinforcement Learning Jobs in Massachusetts

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Deep Reinforcement Learning information

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$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.

Staff, ML Research Scientist

Waltham, MA • On-site

Boston Dynamics
Industrial Automation Equipment Manufacturing • 51 - 200 employees
Learn more about Boston Dynamicsexternal

$154K - $192K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

As a Staff ML Research Scientist on the Machine Learning Safety R&D Team, you will join a small cross-functional group developing machine learning models that will enable our robots to operate safely around people. Every day you will help research, design, and build innovative machine learning models and algorithms to run on our robots. Your work will pave the way for our Embodied AI.
In this role you will chart a path by combining the best of state of the art ML architectures with real-world safe robotics challenges, ultimately creating novel solutions to one of the most important problems in robotics. If you are creative, thrive in a small team environment, and passionate about using machine learning to further a world where humans and robots truly work together - come join us!
How you will make an impact:
  • Research and build novel model architectures which allow our robots to operate safely around people.
  • Research, build, validate, and deploy ML models to detect hazards, humans, and other environmental features.
  • Develop datasets, metrics, and validation plans for ML model research.
  • Work closely with a small team to design and prototype new deep learning based perception and behavior models which create safety features for our robots.

We are looking for:
  • 5+ years of experience applying Deep Learning (ML) to scalable real-world problems in computer vision or LLMs.
  • Experience in the full modeling cycle from research to deployment of modern Deep Learning architectures such as Transformers, VLMs/VLAs, and Deep Reinforcement Learning.
  • Knowledge of state of the art work in related areas of computer vision, world models, and Deep Reinforcement Learning. Publications are a plus.
  • Experience with the full lifecycle of Deep Learning development, including network design, data management, training, evaluation, hyperparameter search, deployment/productionalization, and online validation.
  • Strong communication skills, including ability to author technical documentation and deliver presentations on technical topics.
  • History of working in small, interdisciplinary teams.

The base pay range for this position is between $154,310 to $192,887 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and a annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.
We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this position

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