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Machine Learning Engineer I Jobs in Massachusetts

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 generation of AI-driven defense and aviation systems. In this role, you'll go beyond building models ...

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you'll go beyond building models ...

Senior Machine Learning Engineer

Boston, MA · On-site

$113.50K - $155.90K/yr

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 ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133.10K - $175.50K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133.10K - $175.50K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

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 ...

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 ...

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 ...

Machine Learning Engineer

Boston, MA · On-site

$210K - $250K/yr

Machine Learning Engineer Boston or NYC About Us: Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can ...

... engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: * ML Optimization and Deployment: Develop and deploy machine learning models for ...

Machine Learning Engineer

Cambridge, MA · On-site

$90K - $210K/yr

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer ...

Machine Learning Engineer

Cambridge, MA · On-site

$125.10K - $150.30K/yr

... engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: * ML Optimization and Deployment: Develop and deploy machine learning models for ...

Machine Learning Engineer

Cambridge, MA · On-site

$125.10K - $150.30K/yr

... engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: * ML Optimization and Deployment: Develop and deploy machine learning models for ...

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell ...

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Showing results 1-20

Machine Learning Engineer I information

See Massachusetts salary details

$34.4K

$140.6K

$211.3K

How much do machine learning engineer i jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning engineer i 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 a Machine Learning Engineer I, and why are they important?

To thrive as a Machine Learning Engineer I, you need a solid foundation in programming (especially Python), mathematics, and machine learning concepts, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, version control systems (e.g., Git), and cloud platforms is often expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with stakeholders and translate business needs into technical solutions. These skills are crucial for building robust models, integrating them into production environments, and driving impactful results in data-driven projects.

What are the typical projects a Machine Learning Engineer I can expect to work on during their first year?

As a Machine Learning Engineer I, you can expect to work on projects such as data preprocessing, building and testing basic machine learning models, and implementing existing algorithms under the guidance of senior team members. You'll often collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions. Early projects may also involve model evaluation, feature engineering, and helping to deploy models into production environments. This hands-on experience helps build a strong foundation for tackling more complex problems as you advance in your career.

What are Machine Learning Engineer I?

A Machine Learning Engineer I is an entry-level professional who designs, builds, and deploys machine learning models within software applications. They work closely with data scientists and software developers to implement algorithms that allow computers to learn from data and make predictions or decisions. Typical responsibilities include cleaning and preparing data, training models, evaluating performance, and optimizing algorithms for scalability and efficiency. This role often requires knowledge of programming languages like Python, frameworks such as TensorFlow or PyTorch, and a solid understanding of statistics and machine learning principles.

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

AspectMachine Learning Engineer IData Scientist
Required CredentialsBachelor's in CS, Math, or related field; some roles may prefer certifications in ML or data analysisBachelor's or higher in Statistics, Data Science, or related field; often requires knowledge of programming and statistics
Work EnvironmentDevelops, tests, and deploys ML models; collaborates with data engineers and software developersAnalyzes data, builds models, and provides insights; works closely with business teams and analysts
Employer & Industry UsageTech companies, startups, and industries implementing AI solutionsFinance, healthcare, marketing, and research sectors relying on data-driven decisions

Machine Learning Engineer I focuses on developing and deploying ML models, while Data Scientists analyze data to generate insights. Both roles require programming skills and a background in math or statistics, but their daily tasks and objectives differ slightly.

Infographic showing various Machine Learning Engineer I job openings in Massachusetts as of May 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $140,632 per year, or $67.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

Tagup Inc

Boston, MA • On-site

$125K - $165K/yr

Other

Medical, Retirement

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


Job description

Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We're growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world's highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow.
We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you'll go beyond building models - you'll design, deploy, and scale AI solutions that directly support mission-critical operations.
This is not a typical ML position. You'll work at the intersection of cutting-edge research and real-world application, creating models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance.
If you're motivated by solving complex technical challenges and want your work to make a tangible impact on national security and aviation safety, we want to hear from you.
What You'll Do

  • Develop, train, and optimize ML models for large-scale applications.
  • Build pipelines for data ingestion and model deployment.
  • Work with engineers and subject-matter experts to refine solutions.
  • Conduct testing and validation to ensure reliability.
  • Co-author technical reports on data analysis and model performance.
  • Continuously improve ML infrastructure and workflows.
  • Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.
What We're Looking For
  • 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow.
  • Proven ability to deploy ML models into production and work with large, complex datasets.
  • Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines.
  • Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible.
  • Familiarity with datastores (MySQL, Postgres, or MongoDB) and prior exposure to aviation, defense, or other safety-critical environments is a plus.

Salary
The estimated salary range for this position is between $125,000 and $165,000 annually. We strive to provide a competitive salary and benefits package that aligns with our employees' experience and qualifications. Our primary objective is to attract and retain top talent, and we firmly believe in compensating our employees fairly for their invaluable contributions.
As a rapidly expanding technology company, we extend part-ownership to all team members through an Employee Stock Option Plan. Additionally, we offer comprehensive health insurance benefits, access to the company's 401K plan, and foster a team-oriented work environment with regular company outings!
Why Join Us?
This is your opportunity to move beyond academic experiments and build AI models that make a real difference in defense and industry. At Tagup, you'll work with a world-class, agile team in a supportive environment that encourages rapid iteration and continuous learning.
Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.
Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.