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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 ...

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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 Aug 3, 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 Engineer (Machine Learning) (Boston)

Panda Intelligence

Boston, MA • On-site

$150K - $180K/yr

Full-time

Re-posted 17 hours ago


Job description

This range is provided by Panda Intelligence. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $180,000.00/yr

AI Specialist Recruiter in MedTech & HealthTech

We are seeking a Senior Engineer (Machine Learning) to join a forward-thinking team focused on advancing machine learning solutions for medical imaging. This role provides an exciting opportunity to lead the development of innovative image processing solutions in the healthcare sector.

Key Responsibilities:

  • Lead the research, design, and development of machine learning models for image processing tasks.
  • Build optimized prototypes and ML solutions for medical imaging applications.
  • Develop complementary pre- and post-processing algorithms to enhance model performance.
  • Collaborate closely with cross-functional teams to integrate ML technologies into end-to-end software applications.
  • Contribute to code reviews, software architecture design, and planning sessions.
  • Mentor junior ML engineers, ensuring the team maintains high standards of work.

Key Skills & Experience:

  • 8+ years of experience in machine learning, with a focus on image processing and medical applications.
  • Experience with medical imaging modalities (e.g., CT, MRI, OCT).
  • Strong background in developing machine learning solutions for image-related tasks such as segmentation, classification, and feature detection.
  • Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and Keras.
  • Experience in traditional image processing algorithms.
  • Experience with multi-threaded programming and languages like C++, C#, or Rust is a plus.
  • Familiarity with image processing libraries such as OpenCV, ITK, or VTK.
  • Knowledge of cloud platforms (e.g., AWS, Azure) and cybersecurity practices for medical devices is a plus.

Please note: We are unable to provide VISA sponsorship for this position.

Contract: Permanent

Start Date: By agreement

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering, Information Technology, and Science
Industries
  • Medical Equipment Manufacturing, Hospitals and Health Care, and Biotechnology Research
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