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Artificial Intelligence Machine Learning Engineer Jobs in Massachusetts

DraftKings

Senior Machine Learning Engineer

Boston, MA · On-site

$113.50K - $155.90K/yr

At least 3 years of software engineering experience designing, building, and operating machine learning and artificial intelligence systems in production environments. * A strong foundation in ...

Tagup

Machine Learning Engineer

Boston, MA · On-site

$125K - $165K/yr

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Tagup Inc

Machine Learning Engineer

Boston, MA · On-site

$125K - $165K/yr

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Tagup

Machine Learning Engineer

Boston, MA

$125K - $165K/yr

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

CVS Health

Senior Machine Learning Engineer

Wellesley, MA · On-site

$111.24K - $222.48K/yr

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 ...

CVS Health

Senior Machine Learning Engineer

Wellesley, MA

$111.24K - $222.48K/yr

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 ...

SynergisticIT

AI and Machine Learning Engineer

Cambridge, MA · On-site

$125.10K - $150.30K/yr

Machine Learning And Artificial Intelligence Developer Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

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

IMC Inc

Machine Learning Engineer

Dorchester, MA · On-site

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

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 ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

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 ...

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

Artificial Intelligence Machine Learning Engineer information

See Massachusetts salary details

$34.4K

$140.6K

$211.3K

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

As of May 28, 2026, the average yearly pay for artificial intelligence machine learning engineer in Massachusetts is $140,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $169,300.00 per year, depending on experience, location, and employer.

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 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 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 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 Massachusetts? For Artificial Intelligence Machine Learning Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Massachusetts look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Massachusetts 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 Massachusetts as of May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $140,632 per year, or $67.6 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

DraftKings

Boston, MA • On-site

$113.50K - $155.90K/yr

Full-time

Posted 26 days ago

DraftKings rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

4th of 15 rated gambling companies

Job description

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex challenges across the business. You'll turn cutting-edge machine learning research into scalable, production-ready systems that power critical decisions and customer experiences. Working at the intersection of data, engineering, and experimentation, you'll shape high-impact solutions from concept to deployment while influencing best practices across the organization.

What you'll do as a Senior Machine Learning Engineer

  • Design and refine scalable pipelines for training, evaluating, and deploying machine learning models across diverse use cases.

  • Build rigorous testing and statistical validation frameworks to measure model performance and ensure reliability in production.

  • Optimize models for production readiness, improving computational efficiency, latency, and resource utilization.

  • Implement real-time monitoring systems to detect data drift, model decay, and performance degradation, proactively maintaining model accuracy.

  • Partner with cross-functional teammates to design, build, and deploy end-to-end machine learning applications that scale with business growth.

  • Champion machine learning best practices, including responsible and ethical AI development, documentation, and reproducibility.

  • Identify and lead technical initiatives that elevate platform capabilities and advance the team's machine learning standards.

What you'll bring

  • At least 3 years of software engineering experience designing, building, and operating machine learning and artificial intelligence systems in production environments.

  • A strong foundation in machine learning and statistics, with proven experience applying them to solve complex, real-world problems.

  • Hands-on experience managing the full machine learning lifecycle, from data preparation and feature engineering to deployment and monitoring.

  • Expertise in Python, along with experience in additional languages or tools that support scalable machine learning systems.

  • Experience working with modern platform and infrastructure technologies such as Databricks, Kubernetes, and Terraform.

  • Strong communication and leadership skills, with the ability to influence stakeholders and collaborate effectively across teams.

  • A passion for mentoring teammates, sharing knowledge, and fostering technical growth within the team.

  • The ability to work autonomously, proactively identifying opportunities and driving technical improvements from idea to execution.

Join Our Team

We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 134,400.00 USD - 168,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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