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

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer ... About the team Central Analytics and Research Science (CARS) is an analytics, software, and science ...

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows ...

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows ...

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in ... Familiarity with survival analysis, time-series, or longitudinal modeling. * Open-source ...

About the Team STR's Analytics and C2 Division researches and develops novel technologies to solve ... Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ...

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... Exceptional analytical and problem-solving skills, with a bias for action and a data-driven ...

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... Analytical problem-solving: Ability to break down complex problems and devise effective, efficient ...

About the Team STR's Analytics and C2 Division researches and develops novel technologies to solve ... Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ...

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... Exceptional analytical and problem-solving skills, with a bias for action and a data-driven ...

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 ... Collect, preprocess, and analyze large and complex datasets to support model development and ...

Design and implement efficient and scalable MLLM models for inference and analysis of multimodal ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Showing results 41-60

Machine Learning Analyst information

See Boston, MA salary details

$33.7K

$79.6K

$141.2K

How much do machine learning analyst jobs pay per year?

As of Jul 24, 2026, the average yearly pay for machine learning analyst in Boston, MA is $79,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $94,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.

What is a Machine Learning Analyst job?

A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.

What are typical projects or tasks a Machine Learning Analyst handles on a daily basis?

Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.

Is ML a high paying job?

Machine Learning Analysts typically earn above-average salaries compared to many other roles in data science and technology, with compensation often increasing with experience, skills in programming, and knowledge of tools like Python or TensorFlow. The field is considered well-paying due to high demand for expertise in AI and data analysis across industries.

What does a machine learning analyst do?

A machine learning analyst develops and implements algorithms to analyze data and build predictive models. They work with large datasets, use programming languages like Python or R, and often utilize machine learning frameworks to extract insights and support decision-making.

Can I learn ML in 3 months?

A Machine Learning Analyst role requires a solid understanding of programming, statistics, and data analysis. While it is possible to acquire foundational knowledge in three months with intensive study and practical projects, mastering the skills typically takes longer and depends on prior experience and learning pace.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors with extensive experience and specialized skills. These positions often involve leadership, strategic decision-making, and advanced expertise in AI tools, programming languages, and large-scale data management. Compensation at this level reflects significant responsibility and industry demand for top talent in artificial intelligence and machine learning fields.
What are popular job titles related to Machine Learning Analyst jobs in Boston, MA? For Machine Learning Analyst jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Analyst jobs in Boston, MA look for? The top searched job categories for Machine Learning Analyst jobs in Boston, MA are:
Infographic showing various Machine Learning Analyst job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $79,591 per year, or $38.3 per hour.
Machine Learning Engineer, Alexa AI

Machine Learning Engineer, Alexa AI

Amazon

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,008 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.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience working with PyTorch or JAX software
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
PREFERRED QUALIFICATIONS
- Experience working with PyTorch or JAX software, or experience with vLLM, SGLang, TensorRT or similar platforms in production environments
- Experience developing large model hosting platforms, establishing frameworks, and scaling and optimizing inference system.
- Experience developing and maintaining MLOps tool in large organizations.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 143,700.00 - 194,400.00 USD annually

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

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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