2

Entry Level Machine Learning Engineer Jobs in Boston, MA

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 ...

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 ...

Senior Machine Learning Engineer

Cambridge, MA · On-site

$181.10K - $318.40K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Senior Machine Learning Engineer

Cambridge, MA · On-site

$181.10K - $318.40K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Senior Machine Learning Engineer (Health)

Boston, MA · On-site

$113.50K - $155.90K/yr

As a Senior Machine Learning Engineer on our Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members. You will ...

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189.60K - $312.73K/yr

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with ...

Machine Learning Engineer - Cloud

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Cloud *Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell ...

next page

Showing results 1-20

Entry Level Machine Learning Engineer information

See Boston, MA salary details

$32.6K

$75.4K

$128.2K

How much do entry level machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level machine learning engineer in Boston, MA is $75,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $85,300.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
What are the most commonly searched types of Machine Learning Engineer jobs in Boston, MA? The most popular types of Machine Learning Engineer jobs in Boston, MA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Boston, MA? For Entry Level Machine Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Boston, MA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Boston, MA with the most Entry Level Machine Learning Engineer job openings:
Machine Learning Engineer, Alexa AI

Machine Learning Engineer, Alexa AI

Amazon

Boston, MA • On-site

Full-time

Posted 26 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,779 frontline employees who took The Breakroom Quiz

7th 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