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New Grad Machine Learning Jobs in Boston, MA (NOW HIRING)

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

Key job responsibilities The ideal candidate is passionate about new opportunities and has a ... Machine Learning. This person has thrived and succeeded in delivering high quality technology ...

Chewy

Staff Machine Learning Engineer

Boston, MA · On-site

$186K - $297K/yr

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... You will lead new models from ideation to experimentation, and eventually to production delivery to ...

Bespoke Labs

Machine Learning Engineer

Lowell, MA · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Cambridge, MA · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Brockton, MA · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Lowell, MA · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Babson Park, MA · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Brockton, MA · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Babson Park, MA · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Cambridge, MA · On-site

... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other ...

Nucs AI

Machine Learning Scientist

Berlin, MA · On-site +1

Design and conduct experiments to evaluate new approaches against clinical baselines and ... PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or ...

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Identify new opportunities to apply NLP, CV, LLMs, and other AI techniques to optimize business processes; * Conduct data science and machine learning experiments to discover data-driven solutions.

Capital One

Lead Machine Learning Engineer

Cambridge, MA

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... You have the courage to share new ideas even when they are unproven. * You are deeply Technical.

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Boston, MA

New Grad Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do new grad machine learning jobs pay per year?

As of Jul 7, 2026, the average yearly pay for new grad machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

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

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are 'New Grad Machine Learning' roles?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What are popular job titles related to New Grad Machine Learning jobs in Boston, MA? For New Grad Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Boston, MA look for? The top searched job categories for New Grad Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for New Grad Machine Learning jobs? Cities near Boston, MA with the most New Grad Machine Learning job openings:
New Grad Machine Learning jobs near you
Machine Learning Engineer, Alexa AI

Machine Learning Engineer, Alexa AI

Amazon

Boston, MA • On-site

Full-time

Posted 6 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,930 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

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, and LLM Inference.
As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions.
Key job responsibilities
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements

Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.
Responsibilities-
- Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process data, scale machine learning models
- Will work in an Agile/Scrum environment to deliver high quality software.
About the team
Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Alexa AI organization. Our mission is to provide scalable and reliable evaluation of the state-of-the-art Conversational AI on how customers perceive the assistants they interact with - from the metrics themselves to software applications to deep dive on those metrics - allowing assistant developers to improve their services

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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