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Junior Machine Learning Jobs in Boston, MA (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 ...

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 ...

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 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 Boston, MA salary details

$8

$29

$51

How much do junior machine learning jobs pay per hour?

As of Jul 16, 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 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 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 cities near Boston, MA are hiring for Junior Machine Learning jobs? Cities near Boston, MA with the most Junior Machine Learning job openings:
Infographic showing various Junior Machine Learning job openings in Boston, MA as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $60,913 per year, or $29.3 per hour.
Senior Data Science and Machine Learning Engineer

Senior Data Science and Machine Learning Engineer

1 point system

Bedford, MA • Remote

Contractor

Re-posted 15 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

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