ZipRecruiter

Log In

1

Artificial Intelligence And Machine Learning Jobs in Massachusetts

WilmerHale

Artificial Intelligence (AI) Engineer

Boston, MA · On-site

$105K - $144K/yr

About the Role The Artificial Intelligence Engineer is responsible for developing and implementing ... generative AI, machine learning, and deep learning techniques and identifies opportunities to ...

previous pagenext page

Showing results 21-40

All JobsArtificial Intelligence And Machine Learning JobsArtificial Intelligence And Machine Learning Jobs in Massachusetts

Artificial Intelligence And Machine Learning information

See Massachusetts salary details

$15

$28

$53

How much do artificial intelligence and machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for artificial intelligence and machine learning in Massachusetts is $28.77, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $30.43 per hour, depending on experience, location, and employer.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

What are popular job titles related to Artificial Intelligence And Machine Learning jobs in Massachusetts?

For Artificial Intelligence And Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence And Machine Learning jobs in Massachusetts look for?

The top searched job categories for Artificial Intelligence And Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Artificial Intelligence And Machine Learning jobs?

Cities in Massachusetts with the most Artificial Intelligence And Machine Learning job openings:

Artificial Intelligence And Machine Learning jobs near you
Infographic showing various Artificial Intelligence And Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $59,852 per year, or $28.8 per hour.

Physical Artificial Intelligence Architect - AI

Motion Recruitment Partners, LLC

Boston, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 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.

Apply