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Artificial Intelligence Machine Learning Engineer Jobs in Boston, MA

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden ... As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

$60/hr

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to ... We use data and analytics technologies, such as artificial intelligence (AI), and automated ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site +1

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden ... As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ...

Cooley

Senior AI/ML Engineer

Boston, MA · On-site

$113K - $155K/yr

To that end, the Artificial Intelligence/ Machine Learning Engineer will play a key role in building, deploying, and operating enterprise scale Artificial Intelligence (AI) and Machine Learning (ML ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden ... As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Boston, MA

Artificial Intelligence Machine Learning Engineer information

See Boston, MA salary details

$34.2K

$139.9K

$210.2K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for artificial intelligence machine learning engineer in Boston, MA is $139,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $168,400.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

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

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Boston, MA? For Artificial Intelligence Machine Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Boston, MA look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Boston, MA with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $139,877 per year, or $67.2 per hour.

Vice President Artificial Intelligence

Plymouth Rock Assurance Corporation

Boston, MA • On-site

$400K - $600K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Plymouth Rock Assurance rating

8.5

Company rating: 8.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

105th of 301 rated insurance

Job description

The Vice President Artificial Intelligence will be responsible for defining, governing, and scaling the company's artificial intelligence strategy to drive underwriting excellence, claims efficiency, operational productivity, and superior customer outcomes. As a member of the executive leadership team, the Vice President will ensure that AI initiatives are aligned with business strategy, regulatory expectations, ethical standards, and risk management frameworks specific to the property & casualty insurance industry.

This role will lead the transition from experimentation to enterprise-grade AI, embedding advanced analytics, machine learning, and generative AI across core insurance functions while ensuring transparency, fairness, security, and compliance. The ideal candidate will combine deep expertise in artificial intelligence with strong strategic vision, exceptional communicative and persuasive skills, and an ability to lead transformative projects from inception to execution. An advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Data Science, or a related field, is preferred.Unusuallyhigh levelsof energy, motivation, and determination are alsopreferred.

In this role, you will:

  • Define and execute a multi-year enterprise AI strategy aligned with corporate objectives, growth plans, and risk appetite.
  • Serve as executive owner of AI vision, roadmap, investment prioritization, and value realization.
  • Propose AI strategies that align with the company's overall business objectives and identify opportunities where AI can drive innovation, efficiency, and business transformation.
  • Collaborate with senior executives, department heads, and cross-functional teams to align AI initiatives with company goals.
  • Build and develop a high-performing team of 25 AI/ML professionals to design, implement, and scale advanced AI and machine learning solutions.

Salary Range:

The base salary for this position ranges from $400,000 to $600,000 annually, with substantial additional compensation components that could potentially double the total compensation package.

About Plymouth Rock

Founded in 1982 and headquartered in Boston, writing approximately $2.5 billion in annual premiums, Plymouth Rock is a privately held insurer specializing in automobile and home insurance. Plymouth Rock considers itself to be the "largest of the entrepreneurial insurers" and the "smallest of the large insurers." We blend the agility, innovation, and growth potential of a dynamic startup with the resources, stability, and security of a well-established organization.

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