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

National Geographic

Senior Data Science Engineer

Boston, MA · On-site

$120.80 - $151/hr

You'll work closely with machine learning engineers to develop new product capabilities and uncover ... Mentor junior data scientists and share modeling and engineering best practices across the team.

Jj

Staff AI/ML Software Engr, Navigation

Boston, MA · On-site

  • Retirement

  • PTO

Collaborate in Agile/Scrum workflows, mentor junior engineers, and lead design/code reviews to sustain longterm maintainability. Required Qualifications and Experience: * BS/MS in Machine Learning ...

Amazon

Applied Scientist II - AMZ27496.1

Boston, MA · On-site

$161K - $193K/yr

... for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply ... Mentor junior engineers and scientists. (40 hours / week, 8:00am-5:00pm, Salary Range $161803 ...

Amazon

Applied Scientist II - AMZ27057.1

Boston, MA · On-site

$161K - $193K/yr

... for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply ... Mentor junior engineers and scientists. (40 hours / week, 8:00am-5:00pm, Salary Range $161803 ...

The MITRE Corporation

Data Scientist

Bedford, MA · On-site

Machine Learning and Model Evaluation (e.g., supervised, unsupervised, deep learning, reinforcement ... Provides informal guidance to new or junior team members. * Identifies and solves routine problems;

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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 14, 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 job categories do people searching Junior Machine Learning jobs in Boston, MA look for?

The top searched job categories for Junior Machine Learning jobs in Boston, MA 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:

Junior Machine Learning jobs near you
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.

Applied Scientist II, Reinforcement Learning

Amazon

North Reading, MA • On-site

Full-time

Re-posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,086 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction.

This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.
At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.


The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.
Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.


Key job responsibilities
- Design and implement whole body control methods for balance, locomotion, and dexterous manipulation
- Utilize state-of-the-art in methods in learned and model-based control
- Create robust and safe behaviors for different terrains and tasks
- Implement real-time controllers with stability guarantees
- Collaborate effectively with multi-disciplinary teams to co-design hardware and algorithms for loco-manipulation
- Mentor junior engineer and scientists

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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