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Artificial Intelligence Machine Learning Engineer Jobs in Reading, MA

Senior Machine Learning Engineer

Wellesley, MA · On-site

$111K - $222K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of ... Architect, design, build, and test end to end pipelines leveraging artificial intelligence, machine ...

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

We're looking for a hands-on Machine Learning Engineer who enjoys turning cutting-edge ML research into production-ready software. You'll partner closely with our Data Scientists, taking new ...

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform ... Generative Artificial Intelligence solutions. Key job responsibilities The ideal candidate is ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global ... robotics and artificial intelligence. More About ASUS ASUS is a global technology leader that ...

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

About the Team STR's Intelligence Division researches and develops advanced analytics and machine ... The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ...

Machine Learning Engineer

Cambridge, MA · On-site +1

  • Medical

  • Retirement

Machine Learning Engineer - Computer Vision & Robotics Tycho ... AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts ...

Machine Learning Engineer

Boston, MA · On-site

$140 - $210/hr

About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our integrated discovery team. In this role, you will be the algorithmic engine of our programs, developing and ...

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 ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

See Reading, MA salary details

$33.2K

$135.9K

$204.2K

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

As of Aug 19, 2026, the average yearly pay for artificial intelligence machine learning engineer in Reading, MA is $135,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $163,600.00 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 Reading, MA?

For Artificial Intelligence Machine Learning Engineer jobs in Reading, MA, the most frequently searched job titles are:

What cities near Reading, MA are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Reading, MA with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Reading, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $135,876 per year, or $65.3 per hour.

Senior Machine Learning Engineer

CVS Health

Wellesley, MA • On-site

$111K - $222K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,338 frontline employees who took The Breakroom Quiz

89th of 112 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
About the Role
At CVS Health, we're reshaping the future of CRM Marketing through AI-driven optimization and decision-making to better serve millions of customers nationwide. We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you'll leverage your engineering background and expertise in ML to work on complex technical problems, build new features, and improve existing products. Your solutions will impact tens of millions of customers, influencing how they manage their health and everyday purchases.
Collaborating closely with data science, data engineering, marketing, operations, and other cross-functional teams, you'll architect, develop, deploy, and operationalize ML systems that transform first-party data and measurement signals into reliable decision engines - reducing cycle times, increasing impact, and enabling closed-loop, in-flight optimization. You will also continuously improve model deployment pipelines, strengthening ML infrastructure, and integrating emerging AI technologies into real business workflows.
If you are excited by hard problems, large scale of data and systems, and shipping models that actually get used, this is the job.
What You'll Do
  • Architect, design, build, and test end to end pipelines leveraging artificial intelligence, machine learning, reinforcement learning to drive CRM Marketing optimization and automation including customer targeting, content recommendation, frequency optimization, propensity, uplift and LTV models etc.
  • Implement CICD for ML including automated testing, model versioning, monitoring, and orchestration for models in production
  • Lead the design of Agentic AI solutions to marketing workflow automation, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
  • Collaborate with Data Science, Engineering, and business teams to turn prototypes into production-ready solutions that meet business needs and drive measurable outcomes
  • Provide technical leadership on complex projects. Mentor other engineers and data scientists in best practices, code quality, and scalable architecture. Influence our ML and data roadmap.

What We're Looking For
Must-Have
  • 5+ years of hands-on experience developing machine learning systems in production environment
  • 5+ years of Python programming experience. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps platforms (e.g., Kubeflow, Vertex)
  • 2+ years of SQL experience working with large-scale data (e.g., Snowflake, BigQuery)
  • 2+ years of leading design and architecture of new and existing system experience
  • Strong background in one or more of the following: reinforcement learning, causal inference, LLM, MCP
  • Experience as a mentor or tech lead
  • Ability to work and influence cross-functionally with strong communication skills

Preferred
  • Proficiency with full-stack framework (e.g, Node.js, React)
  • Experience with real time scoring using tools like Spark, Kafka, Airflow
  • Solid backend engineering skills in Python, including APIs and data modeling
  • A/B testing and experimentation experience

Education
  • Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field (or equivalent experience)
  • Master's degree preferred

Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$111,240.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 08/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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