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Graduate Machine Learning Engineer Jobs in Boston, MA

As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured ...

Machine Learning Engineer

Somerville, MA ยท On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine ...

Machine Learning Engineer

Somerville, MA ยท On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine ...

Machine Learning Engineer

Somerville, MA ยท On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

Sr. Lead Machine Learning Engineer

Cambridge, MA ยท On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Senior Machine Learning Engineer

Boston, MA ยท Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA ยท Hybrid

$107K - $199K/yr

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to enhance operational workflows and fraud detection. Duties include: * Design, develop, and maintain AI ...

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to ...

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Showing results 1-20

Graduate Machine Learning Engineer information

See Boston, MA salary details

$34.2K

$139.9K

$210.2K

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

As of Jul 9, 2026, the average yearly pay for graduate machine learning engineer in Boston, MA is $139,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $168,400.00 per year, depending on experience, location, and employer.

What does a Graduate Machine Learning Engineer do?

A Graduate Machine Learning Engineer is an entry-level professional who designs, develops, and tests machine learning models and algorithms. They work with data scientists and engineers to preprocess data, train models, and deploy solutions to solve real-world problems. Their responsibilities often include coding in languages like Python, using libraries such as TensorFlow or PyTorch, and staying updated with the latest advancements in machine learning. This role serves as a starting point for a career in AI, providing hands-on experience in building and optimizing intelligent systems.

What are the key skills and qualifications needed to thrive as a Graduate Machine Learning Engineer, and why are they important?

To thrive as a Graduate Machine Learning Engineer, you need a solid foundation in computer science, mathematics (especially statistics and linear algebra), and proficiency in programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and experience with cloud platforms or data management tools are typically expected. Strong analytical thinking, problem-solving abilities, and effective communication help you collaborate and translate complex concepts into practical solutions. These skills and qualities are crucial for developing robust models, integrating them into real-world applications, and contributing effectively to multidisciplinary teams.

What are some common challenges faced by Graduate Machine Learning Engineers during their first year, and how can they overcome them?

Graduate Machine Learning Engineers often encounter challenges such as bridging the gap between academic knowledge and real-world application, working with large or messy datasets, and learning to collaborate within cross-functional teams. Adapting to production-level code standards and understanding existing codebases can also be demanding. To overcome these hurdles, it's helpful to seek mentorship from experienced colleagues, actively participate in code reviews, and invest time in learning best practices for data preprocessing and model deployment. Embracing continuous learning and open communication will ease the transition into the professional environment.

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

AspectGraduate Machine Learning EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related field; some internshipsBachelor's or Master's in Statistics, Data Science, or related field; often with experience
Work EnvironmentDeveloping ML models, coding, testing algorithmsAnalyzing data, creating visualizations, deriving insights
Employer & Industry UsageTech companies, startups, research labsFinance, healthcare, tech, consulting firms

While both roles involve working with data and algorithms, Graduate Machine Learning Engineers focus on developing and deploying machine learning models, often requiring coding and technical skills. Data Scientists analyze data to extract insights and inform decisions. The roles overlap in skills but differ in primary responsibilities and focus areas.

What are popular job titles related to Graduate Machine Learning Engineer jobs in Boston, MA? For Graduate Machine Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:
Infographic showing various Graduate Machine Learning Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $139,877 per year, or $67.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Roberts Recruiting

Boston, MA โ€ข On-site

Other

Medical, Dental, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

We're looking for a smart, friendly, and dedicated machine learning engineers to help build new features and products. As a company, we're customer and sales-driven in every technical decision we make. As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured data sources. You will design and build customized, large-scale cloud-based machine learning systems. You will report directly to the CTO and get to work alongside the technical leadership team. You will have a close relationship with our Product Managers and UX Designers, collaborating in a fast-paced, small-team environment.
We're looking for teammates with:
  • BS in computer science or computer engineering required, MS preferred
  • Broad knowledge of machine learning and deep learning models and its applications using standard tools including Tensorflow/Keras
  • Backend development experience with a strong interest in work involving data pipelines, distributed systems, performance analysis, and/or large-scale data processing
  • Natural language processing experience including named-entity recognition and text classification is a plus
  • Strong Python skills and Python ML stack (pandas, scikit-learn, numpy, etc.) with knowledge of Object-Oriented Programming
  • Fluency in SQL and Database Management
  • Experience with software engineering practices (e.g. Agile, unit testing, code reviews, design documentation)
  • Excellent communication and collaboration skills and ability to communicate complex technical concepts to technical and non-technical audiences
By taking this job, you'll get:
  • MacBook Pro
  • Two HD monitors
  • Unlimited vacation
  • Stock options
  • All you can eat snacks
  • Great health and dental benefits
  • Company swag (we have the best socks in Boston)
  • Chance to build something amazing from the ground floor
  • Friendly commuting options to Downtown Crossing