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Junior Machine Learning Jobs in Massachusetts (NOW HIRING)

Mentor Data Scientists and Junior Engineers in best practices for programming, Machine Learning Operations (MLOps), and Large Language Model Operations (LLMOps); and in use of various big data ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$149K - $245K/yr

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ...

Provide technical leadership to junior scientists, guiding the transition of R&D concepts into ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Senior Machine Learning Engineer

Boston, MA

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... Mentor junior engineers and contribute to shared tooling, documentation, and process improvements ...

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... Mentor junior engineers and contribute to shared tooling, documentation, and process improvements ...

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Provide technical leadership to junior scientists, guiding the transition of R&D concepts into ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Mentor junior engineers and contribute to a strong engineering culture What You Bring * Master's or ... machine learning solutions in production * Strong programming skills in Python (Java/SQL a plus)

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Junior Machine Learning information

See Massachusetts salary details

$8

$29

$51

How much do junior machine learning jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for junior machine learning in Massachusetts is $29.44, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $36.25 per hour, depending on experience, location, and employer.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require multiple years of experience and relevant certifications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of specialized experience and a strong track record of impactful projects.

Can I get an AI job with no experience?

Entry-level machine learning roles, such as Junior Machine Learning positions, often require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining familiarity with tools like Python and TensorFlow.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Massachusetts? The most popular types of Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Junior Machine Learning jobs? Cities in Massachusetts with the most Junior Machine Learning job openings:
Infographic showing various Junior Machine Learning job openings in Massachusetts as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 2% Temporary, and 2% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $61,234 per year, or $29.4 per hour.

Senior Machine Learning Engineer

Manulife and John Hancock

Boston, MA • On-site

$107K - $199K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Employer: John Hancock Life Insurance Company (USA)
Job Site: 200 Berkeley Street, Boston, MA 02116
Job Title: Senior Machine Learning Engineer
Job Duties:
Design and implement image processing solutions to enhance operational workflows and fraud detection. Duties include:
  • Design, develop, and maintain AI solutions for backend applications related to document analytics;
  • Conduct research and implement AI agents using large language models (LLMs);
  • Deploy LLM agents to automate various business processes including document processing, information retrieval, fraud analytics, and other operational tasks;
  • Mentor Data Scientists and Junior Engineers in best practices for programming, Machine Learning Operations (MLOps), and Large Language Model Operations (LLMOps); and in use of various big data processing tools, machine learning frameworks, and cloud computing concepts;
  • Research Computer Vision (CV) and Natural Language Processing (NLP) algorithms to address technical challenges in document analytics field;
  • Conduct research and development of image processing algorithms for intelligent document processing;
  • Design, develop, and maintain data pipelines to enable data analytics workflows;
  • Design, develop, and maintain highly scalable SQL queries and cloud deployments of automated reporting pipelines using big data technologies;
  • Write and maintain code repositories for AI solutions using the Python;
  • Deploy AI solutions on cloud platforms;
  • Identify new opportunities to apply NLP, CV, LLMs, and other AI techniques to optimize business processes;
  • Conduct data science and machine learning experiments to discover data-driven solutions.

Work Arrangement Requirement Hybrid from Boston Office (3 days from office, 2 days from home)
Minimum Requirements:
Master's degree or foreign equivalent in Computer Engineering, Computer Science, Electronic Engineering or closely related field and 2 years of machine learning engineering, computer vision engineering, or perception engineering experience. Employer will also accept Bachelor's degree or foreign equivalent in Computer Engineering, Computer Science, Electronic Engineering or closely related field and 5 years of machine learning engineering, computer vision engineering, or perception engineering experience.
Experience must include the following, which may be gained concurrently:
  • 2 years of experience with programming languages including Python and C++.
  • 2 years of experience developing and deploying AI solutions including computer vision, natural language processing, and Large Language Model (LLM) based applications.
  • 2 years of experience using high-performance and real-time computer vision and image processing algorithms.
  • 2 years of experience building and deploying back-end AI applications within cloud infrastructure environments.
  • 2 years of experience using Agile methodology.
  • 2 years of experience conducting algorithm research and development including Computer Vision, Optical Character Recognition, and Natural Language Processing.
  • 2 years of experience with SQL including building queries and coding for comprehensive data needs.
  • 1 year of experience using cloud data practices.

The role being advertised is an existing vacancy.
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.
Referenced Salary Location
Boston, Massachusetts
Working Arrangement
Hybrid
Salary range is expected to be between
$107,450.00 USD - $199,550.00 USD
Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.
Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify
Company: John Hancock Life Insurance Company (U.S.A.)