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Machine Learning Software Engineer Jobs in Massachusetts

Teradyne

Software Machine Learning Engineer

Reading, MA · On-site

$116K - $186K/yr

Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied ... Collaborate with software, product, and application engineering teams to integrate ML solutions ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Set up and manage the training environment, including GPU instances and required software. Train ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Set up and manage the training environment, including GPU instances and required software. Train ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site +1

... Machine Learning Engineer with advanced expertise to lead development of large language models ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

$60/hr

... Machine Learning Engineer with advanced expertise to lead development of large language models ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

Software Engineering : Strong proficiency in Python. * ML Frameworks : Extensive hands-on experience with PyTorch. * ML Knowledge : Experience optimizing machine learning model execution during ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... Follow software engineering standards (version control, CI/CD, unit testing) for ML code.

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in Massachusetts

Machine Learning Software Engineer information

See Massachusetts salary details

$69.3K

$161.1K

$224.4K

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

As of Jul 28, 2026, the average yearly pay for machine learning software engineer in Massachusetts is $161,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,100.00 and $188,900.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Massachusetts? The most popular types of Machine Learning Software Engineer jobs in Massachusetts are:
What are popular job titles related to Machine Learning Software Engineer jobs in Massachusetts? For Machine Learning Software Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Software Engineer jobs in Massachusetts look for? The top searched job categories for Machine Learning Software Engineer jobs in Massachusetts are:
What are popular job titles related to Machine Learning Software Engineer jobs in MA? For Machine Learning Software Engineer jobs in MA, the most frequently searched job titles are:
Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $161,114 per year, or $77.5 per hour.
Principal Engineer, AI/ML Software

Principal Engineer, AI/ML Software

Analog Devices

Boston, MA • On-site

$230K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Analog Devices rating

8.5

Company rating: 8.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

32nd of 156 rated electronics manufacturers

Job description

About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.
Employer: Analog Devices, Inc.
Job Title: Principal Engineer, AI/ML Software
Job Requisition: 1010.557 / R264071
Job Location: Boston, Massachusetts
Job Type: Full Time
Rate of Pay: $230,475 - $300,000 per year
Duties:
Design, build, and maintain robust MLOps (Machine-Learning Operations) software systems. Support the development, deployment, testing, and monitoring of AI/ML models on modern cloud-native platforms. Collaborate with data scientists, software engineers, and stakeholders to operationalize AI/ML solutions and ensure their production readiness. Implement and maintain ETL pipelines, automated workflows, and scalable data stores. Ensure high standards of model performance, security, and scalability through continuous monitoring and enhancement of software infrastructure. Guide the MLOps technology roadmap and evaluate emerging tools and technologies to enhance platform capabilities. Utilize MLOps frameworks such as Kubeflow and MLflow, and work with containerization and orchestration tools including Docker and Kubernetes. Deploy infrastructure using Terraform and manage cloud-based resources on platforms such as GCP, AWS, and Azure. Contribute to Agile development processes and cross-functional team collaboration.
Partial telecommute benefit (3 days/week WFH).
Requirements: Must have a Bachelor's degree in Computer Science, Information Technology, or a related field (or foreign education equivalent) and five (5) years of experience as a software engineer building and maintaining machine learning software workflows.
In the alternative, Master's degree in Computer Science, Information Technology, or a related field (or foreign education equivalent) and three (3) years of experience as a software engineer building and maintaining machine learning software workflows.
Must also possess the following (quantitative experience requirements not applicable to this section):
  • Demonstrated Expertise ("DE") designing, developing, and maintaining end-to-end machine learning (ML) pipelines, including data ingestion, preprocessing, model training, validation, and deployment (using PyTorch or TensorFlow); and managing experiment tracking and model lifecycle with MLflow or CometML;
  • DE in technical leadership of production ML platforms and pipelines-leading a small, cross-functional team; setting standards, running design/code reviews, and mentoring junior engineers;
  • DE building scalable systems on cloud platforms, with hands-on experience designing fault-tolerant architectures, distributed training setups, multi-cloud strategies (using AWS, GCP, or Azure), and automating infrastructure tasks with Linux and shell scripting;
  • DE in containerization, orchestration, and MLOps/DevOps practices, including deploying ML models and pipelines with Docker and Kubernetes; implementing CI/CD and infrastructure-as-code (Terraform or AWS CloudFormation); and setting up monitoring and observability (Prometheus and Grafana);
  • DE developing distributed data processing pipelines for real-time or batch ML workflows (using Apache Airflow and Apache Kafka); and
  • DE leading the design, building, and maintenance of scalable, robust, and secure RESTful APIs and microservices architectures using Python, with knowledge of computer networks and protocols.

Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R264071.
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: Experienced
Required Travel: No
Shift Type: 1st Shift/Days
  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

What Analog Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Analog Devices

Sourced by ZipRecruiter

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Norwood, MA, US

Year founded

1965

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