1

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

Mentor junior engineers and champion engineering excellence in ML research and development ... Industry or academic experience developing and optimizing deep learning algorithms in one or more ...

Junior AI Engineer

Wilmington, MA · On-site

$65K - $90K/yr

We are looking for an early-career Junior AI Engineer to help build, test, monitor, optimize, and ... Azure Machine Learning, and Azure Functions. * Develop and maintain automated test suites for AI ...

Junior AI Engineer

Wilmington, MA · On-site

$65K - $90K/yr

We are looking for an early-career Junior AI Engineer to help build, test, monitor, optimize, and ... Azure Machine Learning, and Azure Functions. * Develop and maintain automated test suites for AI ...

Independently apply productized AI and Machine Learning models to advance 1910's active drug design campaigns * Independently write and publish peer reviewed scientific articles and mentor junior AI ...

... Machine Learning models to advance 1910's active drug design campaigns • Independently write and publish peer reviewed scientific articles and mentor junior AI Researchers with their work • ...

... Machine Learning models to advance 1910's active drug design campaigns • Independently write and publish peer reviewed scientific articles and mentor junior AI Researchers with their work • ...

... junior researchers. Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design pipeline • Independently apply productized AI and Machine ...

... Machine Learning models to advance 1910's active drug design campaigns • Independently write and publish peer reviewed scientific articles and mentor junior AI Researchers with their work • ...

... Machine Learning models to advance 1910's active drug design campaigns  * Independently write and publish peer reviewed scientific articles  and mentor junior AI Researchers with their work

... and Machine Learning models to advance 1910's active drug design campaigns Independently write and publish peer reviewed scientific articles and mentor junior AI Researchers with their work ...

Showing results 21-40

Junior Machine Learning information

See Boston, MA salary details

$8

$29

$51

How much do junior machine learning jobs pay per hour?

As of Aug 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 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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $60,913 per year, or $29.3 per hour.

Senior Machine Learning Engineer

Cognex

Natick, MA

$115K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Job Description

About Us:

Cognex is a global leader in the exciting and growing field of machine vision. Our employees, proudly called "Cognoids," are passionate about solving the most difficult vision problems with our embedded cameras and software products featuring state-of-the-artID,2D and 3D vision technology. Our Work Hard, Play Hard, Move Fast culture recognizes achievement and dedication with unique rewards and celebrations.


We are looking for creative, bright, motivatedCognoidswho share our passion for excellence and want to makean impactata dynamic, global company. We celebrate our employees for theirinnovation,perseverance,and hard work in a fun, rewarding, and quirkyenvironment. If you enjoy the sense of accomplishment that comes from working together to create products that solve tough problems for organizations around the world, contact us to see how you can becomepart of our team!

This is a hybrid role based in our Natick, MA headquarters.

The Team

You will join theCoreVisionToolsteamthatisresponsible forbuilding stateoftheart computer visionalgorithmsand deep learning models used inallCognex'sproducts. The team works across custom hardware, optimized embedded systems, and nextgeneration algorithm design to deliver highperformance solutions that run at extreme speeds and scale globally across product lines.

Job Summary

We are seeking an experienced AI/ML engineer with strong research and developmentskills-someone deeply familiar with designing, training, evaluating, and deploying efficient deep learning models for computer vision. You will advance Cognex's AI capabilities by developing novel architectures,optimizingmodels for embedded platforms, and collaborating with R&D and product teams to bring research prototypes into production.

Essential Functions

  • Research, design, and implement efficient deep learning models forindustrialmachine vision tasks,with a focus on algorithms with low power, low latency and data efficiency requirements

  • Collaborate withcross functionalengineersto transition experimental AI models into productionready components for embedded systems.

  • Develop highperformance Python and C/C++ code for training, optimization, benchmarking, and deployment.

  • Lead modelarchitecture discussions and make longterm technical decisions across platforms.

  • Optimize neural networks for resourceconstrained environments (quantization, pruning, distillation, hardwareaware design).

  • Build evaluation pipelines, datasets, and tools to assess model accuracy, robustness, runtime performance, and reliability.

  • Diagnoseandresolvecomplex issues across hardware, software, and ML components.

  • Providetechnical guidance to engineers developing UIs, test frameworks, and runtime components.

  • Mentor junior engineers and champion engineering excellence in ML research and development.

Knowledge, Skills, and Abilities

Essential

  • Industry or academic experience developing and optimizing deep learning algorithms in one or more relevant technical areas - computer vision, natural language processing, speech recognition

  • Deep understanding of AI concepts including training strategies, loss functions, evaluation metrics, and ML operations.

  • StrongPython programming skills.

  • ProficientC/C++ experience for performancecritical systems.

  • Proficiencywith ML frameworks (PyTorch, TensorFlow), model optimization, and ML development lifecycles.

  • Strong debugging and analytical problemsolving skills.

  • Experience with software development practices including version control, CI/CD, and issue tracking.

  • Excellent communication and collaboration skills.

Desired

  • Background in computer vision, signal processing, or related fields.

  • Experience with embedded ML, quantization, or hardwareaware optimization.

  • Handson experience building and deploying efficient deep learning models for realworld computer vision applications.

Minimum Education & Experience

Bachelor's orMaster's degree in Computer Science,Computer/Electrical Engineering,Mathematicsor related field, and5+ years of relevant experience in AI/ML, software engineering, or applied research roles.

Cognex believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is $115,000 USD- $225,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a sales incentive plan.

This position provides a comprehensive benefits package, including health, dental, and vision insurance; a 401(k) retirement plan with company matching; employer-paid disability, family leave, and life insurance; paid time off (including holidays); optional voluntary benefits; as well as recognition and wellness programs.

Additional Job Description

Equal Employment Opportunity

Cognex is an equal opportunity employer. Cognex evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.