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Junior Machine Learning Jobs in Boston, MA (NOW HIRING)

Axon

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 ...

Axon

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 ...

Whoop

Senior Manager, Machine Learning, SaMD

Boston, MA · On-site

Our Health Machine Learning team develops the algorithms and models that power health features used ... Develop the next layer of leadership, coach junior and seniorICs, manage performance with clarity ...

MIT Lincoln Laboratory

Project Machinist

Lexington, MA

$23 - $31.50/hr

You'll also mentor junior machinists and help shape how the group approaches its most complex work ... Enthusiasm for learning new fabrication techniques and machine tools * Strong teamwork and ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Boston, MA

Junior Machine Learning information

See Boston, MA salary details

$8

$29

$51

How much do junior machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for junior machine learning in Boston, MA is $29.29, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $36.06 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a junior machine learning engineer?

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 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 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 are the most commonly searched types of Machine Learning jobs in Boston, MA?

The most popular types of Machine Learning jobs in Boston, MA are:

What are popular job titles related to Junior Machine Learning jobs in Boston, MA?

For Junior Machine Learning jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning jobs in Boston, MA look for?

The top searched job categories for Junior Machine Learning jobs in Boston, MA are:

What cities near Boston, MA are hiring for Junior Machine Learning jobs?

Cities near Boston, MA with the most Junior Machine Learning job openings:

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $60,913 per year, or $29.3 per hour.

Senior Data Science and Machine Learning Engineer

1 point system

Bedford, MA • Remote

Contractor

Re-posted 9 days ago

Job description

Role

Senior Data Science and Machine Learning Engineer

Duration

6 months Contract to Hire

Location

Remote

Job Summary

    • We are seeking a Senior Data Science Engineer to design, build, and scale data-driven systems that power advanced analytics and machine learning across our organization. This role sits at the intersection of software engineering and data science; you’ll be responsible for building robust data pipelines, enabling experimentation, and deploying production-ready machine learning models.
    • As a senior team member, you will mentor junior engineers and data scientists, influence architectural decisions, and help shape the long-term AI and data strategy.

Key Responsibilities

    • Develop, deploy, and maintain machine learning models in production environments.
    • Collaborate with data scientists, analysts, and product managers to define and deliver data-driven features.
    • Ensure high-quality data through monitoring, validation, and robust testing frameworks.
    • Architect and maintain data platforms and tools for experimentation, model serving, and feature engineering.
    • Explore and integrate Large Language Models (LLMs) and other generative AI approaches into business applications and data workflows.
    • Contribute to code reviews, technical design discussions, and best practices for the team.
    • Mentor and guide junior engineers/data scientists, fostering technical excellence and career growth.
    • Stay current with emerging technologies in Data Science, Machine Learning, LLM Ops, ML Ops.

Education Requirement

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Master’s degree or PhD is a strong plus.

Experience

•            5+ years of experience in data engineering, machine learning engineering, or related roles.

•            Strong proficiency in Python (Pandas, NumPy, PySpark, or similar).

•            Solid understanding of ML model development, training, and deployment pipelines.

•            Experience with ML model monitoring and observability frameworks.

•            Experience with deep learning frameworks(TensorFlow, PyTorch).

•            Familiarity with CI/CD, version control (Git),and modern ML Ops practices.

Nice-to-Have

•            Contributions to open-source Data Science / Machine Learning libraries or frameworks.

•            Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization

Thanks and Regards

Monu Singh Chauhan | 1Point System LLC
Technical Recruiter  
monu.singh@1pointsys.com 

LinkedIn: linkedin.com/in/monu-singh-chauhan-610857204
115 Stone Village Drive • Suite C • Fort Mill, SC • 29708

         An E-Verified company | An Equal Opportunity Employer 

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