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Computer Science Artificial Intelligence Jobs in Massachusetts

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. * Strong programming skills in Python. * Experience with Machine ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

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All JobsComputer Science Artificial Intelligence JobsComputer Science Artificial Intelligence Jobs in Massachusetts

Computer Science Artificial Intelligence information

See Massachusetts salary details

$55.2K

$121.6K

$150.2K

How much do computer science artificial intelligence jobs pay per year?

As of Aug 8, 2026, the average yearly pay for computer science artificial intelligence in Massachusetts is $121,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $149,600.00 per year, depending on experience, location, and employer.

Can I get an artificial intelligence job with a computer science degree?

A computer science degree provides a strong foundation for artificial intelligence (AI) roles, which often require knowledge of programming languages like Python, machine learning algorithms, and data analysis. Many AI jobs also value practical experience, internships, and familiarity with tools such as TensorFlow or PyTorch.

What computer science artificial intelligence jobs are in high demand?

High-demand artificial intelligence jobs in computer science include AI engineer, machine learning engineer, data scientist, and research scientist. These roles often require skills in programming languages like Python, knowledge of deep learning frameworks, and experience with large datasets, with industries such as tech, finance, healthcare, and autonomous vehicles actively hiring for these positions.

What does a typical day look like for someone working in computer science artificial intelligence?

A typical day in a Computer Science Artificial Intelligence role often involves researching and developing new models, collaborating with data scientists and software engineers, and testing or optimizing machine learning algorithms. You may spend a significant amount of time analyzing datasets, building prototypes, and reviewing code, as well as meeting with multidisciplinary teams to align on project goals. The role is dynamic, with a mixture of individual problem-solving and group brainstorming to tackle complex challenges. This variety ensures continual learning and hands-on interaction with the latest technological advancements in artificial intelligence.

What are the key skills and qualifications needed to thrive in computer science artificial intelligence, and why are they important?

To thrive in a Computer Science Artificial Intelligence role, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically at least a bachelor's degree in computer science or related fields. Hands-on experience with frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and familiarity with cloud platforms is highly desirable, and certifications such as AWS Certified Machine Learning can be advantageous. Analytical thinking, problem-solving, teamwork, and effective communication are important soft skills for success in both independent and collaborative settings. These skills and qualifications enable professionals to design, implement, and deploy AI solutions that address real-world business challenges.

What is a computer science artificial intelligence?

A Computer Science Artificial Intelligence (AI) job involves developing, implementing, and improving AI technologies using machine learning, deep learning, and data analysis techniques. Professionals in this field work on algorithms, automation, and intelligent systems that can solve complex problems across industries like healthcare, finance, and robotics. Roles may include AI engineer, data scientist, or machine learning specialist, requiring strong programming skills in languages like Python and knowledge of AI frameworks.

What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Massachusetts? The most popular types of Computer Science Artificial Intelligence jobs in Massachusetts are:
What are popular job titles related to Computer Science Artificial Intelligence jobs in Massachusetts? For Computer Science Artificial Intelligence jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Computer Science Artificial Intelligence jobs in Massachusetts look for? The top searched job categories for Computer Science Artificial Intelligence jobs in Massachusetts are:
What cities in Massachusetts are hiring for Computer Science Artificial Intelligence jobs? Cities in Massachusetts with the most Computer Science Artificial Intelligence job openings:
Computer Science Artificial Intelligence jobs near you
Infographic showing various Computer Science Artificial Intelligence job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $121,600 per year, or $58.5 per hour.

Physical Artificial Intelligence Architect - AI

Motion Recruitment Partners, LLC

Boston, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Join a rapidly growing, venture-backed robotics company that's transforming warehouse automation through advanced AI, robotics, and autonomous systems. With cutting-edge robotic platforms already deployed in real-world logistics environments, this organization is focused on solving some of the industry's most challenging manipulation and automation problems using modern machine learning and control techniques.
This is an opportunity to bridge cutting-edge AI research with production robotics. You'll help define the next generation of robotic autonomy, applying state-of-the-art learning algorithms to systems operating at commercial scale where reliability, speed, and robustness matter every day.
The Opportunity
We're seeking a Physical AI Architect to serve as the technical leader responsible for the architecture of next-generation robotic autonomy systems. This role combines deep expertise in machine learning, robotics, perception, planning, and controls with the practical experience required to deploy AI-powered systems onto production hardware.
You'll work across robotics software, perception, controls, embedded systems, and mechanical engineering to develop scalable autonomy solutions that improve robotic performance while mentoring senior engineers and influencing the long-term technical strategy of the organization.
Required Skills & Experience
  • MS or PhD in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
  • 8+ years of experience developing robotics, autonomy, or AI-powered systems
  • Demonstrated history of deploying AI solutions into production robotic hardware
  • Deep expertise with diffusion models and modern robot learning techniques
  • Strong background in optimal control, Model Predictive Control (MPC), trajectory optimization, and feedback control systems
  • Experience combining machine learning with traditional robotics planning and control architectures
  • Strong Python and C++ programming skills
  • Experience with ROS2 or equivalent robotics middleware
  • Hands-on experience integrating sensors, embedded compute platforms, and robotic actuators
  • Experience deploying AI models under real-time performance constraints
  • Excellent communication and technical leadership skills
Desired Skills & Experience
  • Experience with diffusion policies, score-based generative models, and behavior cloning
  • Experience deploying AI models on NVIDIA Jetson, ARM-based platforms, GPUs, or edge computing devices
  • Experience with RGB-D cameras, force/torque sensors, encoders, and multi-modal sensor fusion
  • Experience designing scalable perception, planning, and controls architectures
  • Familiarity with reinforcement learning and imitation learning
  • Experience optimizing inference latency and real-time robotic performance
  • Strong systems engineering mindset with experience designing highly reliable autonomous systems
  • Previous experience mentoring senior engineers or leading technical initiatives
What You Will Be Doing
  • Architect the company's next-generation Physical AI platform spanning perception, planning, and robotic controls
  • Lead development of diffusion-based policy learning solutions for robotic manipulation and automation
  • Design autonomous systems that combine modern AI approaches with classical control algorithms
  • Define technical strategy for integrating machine learning into production robotic systems
  • Collaborate with perception, controls, firmware, mechanical, and embedded engineering teams to optimize complete robotic solutions
  • Drive hardware integration across sensors, embedded compute, and actuator platforms
  • Improve system throughput by optimizing model inference, planning performance, and hardware execution
  • Evaluate emerging AI technologies and determine practical applications for production robotics
  • Mentor senior engineers and establish technical best practices across autonomy development
  • Help shape the long-term AI and robotics roadmap for future product generations
Tech Breakdown
  • 35% AI & Robot Learning (Diffusion Models, ML)
  • 25% Robotics Planning & Optimal Control
  • 20% Software Architecture & Systems Design
  • 10% Hardware Integration & Embedded Systems
  • 10% Technical Leadership & Mentorship
Daily Responsibilities
  • 50% Hands-On AI & Robotics Development
  • 20% Architecture & Technical Strategy
  • 15% Cross-Functional Engineering Collaboration
  • 10% Performance Optimization & Hardware Integration
  • 5% Mentoring & Technical Leadership
The Offer
  • Competitive base salary plus bonus and equity potential
  • Comprehensive medical, dental, and vision insurance
  • 401(k) with company contribution
  • Unlimited PTO and paid holidays
  • Opportunity to work on cutting-edge AI-powered robotics deployed in real-world production environments
  • Collaborative engineering culture with significant technical ownership
  • Career growth within a rapidly scaling, venture-backed robotics company

Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship may be considered for highly qualified candidates.

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