ZipRecruiter

Log In

1

Junior Machine Learning Engineer Jobs in Allston, MA

Red Hat, Inc.

Machine Learning Engineer

Boston, MA · On-site

$136.32 - $225.09/hr

## Machine Learning EngineerApplyremote type: Hybridlocations: Bostontime type: Full timeposted on ... Apply standard software engineering practices, including version control, code reviews, and ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...

Rockstar Games

Senior Machine Learning Engineer

Andover, MA · On-site

$105K - $145K/yr

Rockstar Games is on the lookout for a skilled Senior Machine Learning Engineer with strong software development skills who is passionate about games, big data and Machine Learning to join a team ...

Xometry

Staff Machine Learning Engineer

Waltham, MA

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Teradyne

Software Machine Learning Engineer

Reading, MA · On-site

$116K - $186K/yr

Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact.

Cognex

Senior Machine Learning Engineer

Natick, MA

$115K - $225K/yr

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 ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Allston, MA

Junior Machine Learning Engineer information

See Allston, MA salary details

$36.6K

$78.3K

$119.5K

How much do junior machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for junior machine learning engineer in Allston, MA is $78,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,900.00 and $87,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Allston, MA? The most popular types of Machine Learning Engineer jobs in Allston, MA are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Allston, MA? For Junior Machine Learning Engineer jobs in Allston, MA, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Allston, MA look for? The top searched job categories for Junior Machine Learning Engineer jobs in Allston, MA are:
What cities near Allston, MA are hiring for Junior Machine Learning Engineer jobs? Cities near Allston, MA with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Allston, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $78,345 per year, or $37.7 per hour.

Senior Machine Learning Engineer

Cognex Corporation

Natick, MA • On-site

$115K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

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-art ID, 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, motivated Cognoids who share our passion for excellence and want to make an impact at a dynamic, global company. We celebrate our employees for their innovation, perseverance, and hard work in a fun, rewarding, and quirky environment. 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 become part of our team!
This is a hybrid role based in our Natick, MA headquarters.
The Team
You will join the Core Vision Tools team that is responsible for building state-of-the-art computer vision algorithms and deep learning models used in all Cognex's products. The team works across custom hardware, optimized embedded systems, and next-generation algorithm design to deliver high-performance 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 development skills-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, optimizing models 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 for industrial machine vision tasks, with a focus on algorithms with low power, low latency and data efficiency requirements

  • Collaborate with cross functional engineers to transition experimental AI models into production-ready components for embedded systems.

  • Develop high-performance Python and C/C++ code for training, optimization, benchmarking, and deployment.

  • Lead model-architecture discussions and make long-term technical decisions across platforms.

  • Optimize neural networks for resource-constrained environments (quantization, pruning, distillation, hardware-aware design).

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

  • Diagnose and resolve complex issues across hardware, software, and ML components.

  • Provide technical 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.

  • Strong Python programming skills.

  • Proficient C/C++ experience for performance-critical systems.

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

  • Strong debugging and analytical problem-solving 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 hardware-aware optimization.

  • Hands-on experience building and deploying efficient deep learning models for real-world computer vision applications.

Minimum Education & Experience
Bachelor's or Master's degree in Computer Science, Computer/Electrical Engineering, Mathematics or related field, and 5+ 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.

Apply