Amazon
Amazon

60 Amazon Machine Learning Intern Jobs Hiring Near You

Senior Machine Learning Compiler Engineer

Seattle, WA

$139.40K - $183.80K/yr

Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best ...

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139.40K - $183.80K/yr

Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best ...

Senior Machine Learning Compiler Engineer

Seattle, WA

$139.40K - $183.80K/yr

Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best ...

Showing results 21-40

Amazon Jobs Information

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What is it like to work at Amazon?

Amazon is known for its fast-paced and innovative work environment, driven by a customer-obsessed culture that emphasizes experimentation, learning, and continuous improvement. The company's flat organizational structure and cross-functional teams allow employees to collaborate and contribute to various projects, with many teams working on cutting-edge technologies such as artificial intelligence, robotics, and cloud computing. For those who thrive in dynamic and entrepreneurial settings, Amazon offers opportunities to work on high-impact projects, develop new skills, and be part of a global organization that is shaping the future of e-commerce and beyond.

Do workers at Amazon get paid breaks?

Yes. Most people get paid breaks.
73% of people say they get paid breaks.
Based on data from 572 people who took the Breakroom Quiz between February 2026 and May 2026.

Does Amazon pay people when they’re sick?

No. Most people don’t get paid when they’re sick.
74% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 528 people who took the Breakroom Quiz between February 2026 and May 2026.

At Amazon, are sick days and vacation days separate paid time off?

Sick days and vacation days are used from the same paid time off.
76% of people say they have to use vacation days when they’re out sick.
Based on data from 522 people who took the Breakroom Quiz between February 2026 and May 2026.

Are part-time workers able to get health insurance from Amazon?

Only some people who work part-time can get health insurance.
42% of people who work fewer than 30 hours a week say they can’t get health insurance
Based on data from 153 people who took the Breakroom Quiz between December 2024 and March 2025.

Do part-time workers get paid time off at Amazon?

Most people who work part-time get paid time off.
89% of people who work part-time say they get paid time off
Based on data from 152 people who took the Breakroom Quiz between November 2025 and May 2026.

Is the health insurance from Amazon affordable enough for their workers?

Most people say the health insurance costs are okay.
91% of people say the health insurance costs are okay
Based on data from 422 people who took the Breakroom Quiz between February 2026 and May 2026.

Do people get paid time off at Amazon?

Most people get paid time off work.
97% of people say they get paid time off.
Based on data from 641 people who took the Breakroom Quiz between February 2026 and May 2026.

How far ahead of time do people find out their work schedule?

Most people find out their schedule less than four weeks ahead of time.
  • 71% of people with changing schedules find out their shifts one week or less ahead of time.
  • 15% of people with changing schedules find out their shifts two weeks ahead of time.
  • 6% of people with changing schedules find out their shifts three weeks ahead of time.
  • 9% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 246 people who took the Breakroom Quiz between November 2025 and May 2026.

Do workers at Amazon worry about hours?

Some people worry about getting enough hours.
46% of people report they worry about getting enough hours.
Based on data from 291 people who took the Breakroom Quiz between November 2025 and May 2026.

Do Amazon workers get to choose the shifts they work?

Some people don’t get to choose which shifts they work.
48% report that they don’t have enough control over which shifts they work.
Based on data from 181 people who took the Breakroom Quiz between November 2025 and May 2026.

How easy is it for Amazon workers to change shifts?

Some people find it hard to change shifts.
36% of people report that it’s hard to change shifts if they need to.
Based on data from 222 people who took the Breakroom Quiz between November 2025 and May 2026.

How easy is it to get time off at Amazon?

Most people find it easy to get time off.
79% of people report it’s easy to get time off.
Based on data from 531 people who took the Breakroom Quiz between February 2026 and May 2026.

Do Amazon managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
82% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 269 people who took the Breakroom Quiz between November 2025 and May 2026.

Do workers at Amazon do extra work that they don't get paid for?

Rarely. Most people don’t do unpaid extra work.
84% of people report that they don’t do extra unpaid work.
Based on data from 262 people who took the Breakroom Quiz between November 2025 and May 2026.

How easy is it to take sick days at Amazon?

Most people find it easy to take sick days.
83% of people report that it’s easy to take time off if they are sick.
Based on data from 572 people who took the Breakroom Quiz between February 2026 and May 2026.

Is a Amazon job good for students?

Most students say this is a good place to work if you’re studying.
81% of students report this is a good place to work if you’re studying.
Based on data from 196 people who took the Breakroom Quiz between November 2025 and May 2026.

Is working at Amazon good if you’re a parent or caregiver?

Only some parents and caregivers say this is a good place to work.
37% of people who care for a child or other relative report this isn’t a good place to work.
Based on data from 154 people who took the Breakroom Quiz between February 2026 and May 2026.

Do people at Amazon feel treated with respect by their managers?

Most people feel treated with respect by their managers.
78% of people say they’re treated with respect by their managers.
Based on data from 572 people who took the Breakroom Quiz between February 2026 and May 2026.

Do people at Amazon get to take their breaks without interruption?

Most people get breaks without interruption.
86% of people report that they get to take their breaks without interruption.
Based on data from 603 people who took the Breakroom Quiz between February 2026 and May 2026.

Is it stressful to work at Amazon?

Some people feel stressed out here.
63% of people say they often feel stressed out at work.
Based on data from 601 people who took the Breakroom Quiz between February 2026 and May 2026.

Do people at Amazon enjoy their jobs?

Only some people enjoy their job.
36% of people report they don’t enjoy their job.
Based on data from 490 people who took the Breakroom Quiz between February 2026 and May 2026.

Do people at Amazon recommend working with their team?

Only some people recommend working with their team.
45% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 651 people who took the Breakroom Quiz between February 2026 and May 2026.

Do people get enough training when they start at Amazon?

Most people got enough training when they started.
69% of people report they got enough training when they started working here.
Based on data from 610 people who took the Breakroom Quiz between February 2026 and May 2026.

Do people get support to advance at Amazon?

Only some people are given support to advance their career here.
In the last year, 44% of people report not being given support to advance their career here.
Based on data from 562 people who took the Breakroom Quiz between February 2026 and May 2026.

Do people think Amazon’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
75% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 550 people who took the Breakroom Quiz between February 2026 and May 2026.

Do workers feel well informed about how Amazon is doing?

Only some people feel well informed about how the company is doing.
51% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 575 people who took the Breakroom Quiz between February 2026 and May 2026.
Infographic showing various Machine Learning Intern job openings at Amazon in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Sr Software Development Manager, Generative AI for AWS Neuron

Sr Software Development Manager, Generative AI for AWS Neuron

Amazon

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 hours ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,784 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

You will join a dynamic team working in the GenaAI revolution by applying AI to AI. You will work building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. You will work with external and internal customers to identify the main obstacles and the opportunities to accelerate their adoption of the Neuron technology. You will be a key member of the team driving our vision and strategy in this space critical to AWS's Generative AI business. Will also lead a team building AI agents and tools that simplify AWS Neuron adoption for Machine Learning developers working with Trainium chips, partnering with external and internal customers to identify obstacles and accelerate their migration to AWS's ML silicon.
Key job responsibilities
This is a highly visible role that requires partnering with other Neuron Software teams, Applied Science, AWS AI Services, external partners and customers with a potential high impact on AWS's top and bottom line. As a member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical and leadership responsibilities:
* Collaborate with scientists, engineers, product managers and executive leadership to create the technical vision and roadmap for agents and tools used by internal and external Machine Learning developers.
* Serve as a technical lead on demanding, cross-functional projects critical to AWS's future success in the AI space..
* Deliver on ambitious goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron.
* Contribute intellectual property through patents.
* Hire and assist in the career development of your team members, actively mentoring individuals on advanced technical issues and their career growth.
* Contribute to the definition of best practices for the software development lifecycle used by junior engineers, including its design, implementation, testing, and operational characteristics.
About the team
The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling.
BASIC QUALIFICATIONS
- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Experience in one or more of the following areas ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization. or alternatively applied math
PREFERRED QUALIFICATIONS
- Proven track record building AI agents that automate ML workload optimization
- ML compiler tuning
- Distributed inference and training
- ML kernel authoring and optimization
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, NY, New York - 242,100.00 - 327,500.00 USD annually

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