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Artificial Intelligence Machine Learning Engineer Jobs in Boston, MA

Manulife

Machine Learning Engineer

Boston, MA · Hybrid

$162K/yr

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines ... We use data and analytics technologies, such as artificial intelligence (AI), and automated ...

Modulate

Senior Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

We are building a Conversation Intelligence Platform -- APIs, workflows, and applications that bring voice understanding to customers at enterprise scale. We're looking for a Senior Machine Learning ...

Capital One

Lead Machine Learning Engineer

Boston, MA

$111K - $146K/yr

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. You ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

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. You ...

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 ...

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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 Sep 14, 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 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 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 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $139,877 per year, or $67.2 per hour.

Senior Machine Learning Engineer, Voice Assistant

Boston, MA • On-site

Roku
Manufacturing • 1 - 5K employees
Learn more about Rokuexternal

$216K - $273K/yr

Full-time

Medical, Life, PTO

Re-posted 5 days ago

Job description

About the Team

The Roku Voice team is responsible for Roku's Voice product, which is used by millions of Roku users. We allow our users to easily and effortlessly control their TV, find content to stream, and more, all through the power of their voice. We deliver this engaging and delightful experience to our users through state-of-the-art technologies and platforms.


About the Role 

Roku's Entertainment Assistant team is looking for ambitious, experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems, and building large-scale production systems. You have a once-in-a-lifetime opportunity to contribute to building the very core of Roku's Entertainment Assistant and be part of a world-class team.

For Massachusetts Only - The estimated annual salary for this position is between $216,000 - $273,400 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off

How will I use AI at Roku? 

At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. 
We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.  

What You'll Be Doing
  • Design and develop software and algorithms for Roku's state-of-the-art entertainment assistant
  • Design and develop software components for high-availability and high-performance cloud solutions
  • End-to-end responsibility from developing a proof of concept to production
  • Have a strong programming background with a lot of hands-on experience in building large-scale production systems
  • Strong algorithmic background and like intellectual challenges and solving complex problems
  • Working across teams and pulling in the best talent from the organization to achieve your goals
  • Contribute with new ideas and evaluate multiple solutions with your peers before settling down on specific solutions
  • You are self-driven, willing, and able to take complete ownership of initiatives and make pragmatic technical decisions 

We're Excited If You Have
  • 5+ years of industry experience (or advanced degree with 3+ years) applying ML/AI to NLU or related domain
  • Experience working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java or Python, or C++)
  • Good understanding of machine learning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech
  • Hands-on experience in building challenging production systems
  • Strong CS fundamentals, with the ability to write algorithms with ease
  • Familiarity and experience deploying and maintaining machine learning models (transformer-based models in production is a plus), including identifying the right KPIs and objective functions
  • Experience with advanced machine learning techniques, including LLM and generative AI
  • Experience building in-production NLU and/or ASR systems
  • Bachelor's Degree preferred

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