Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,394 postings in the last year. Stated ranges, not salaries paid.
2027 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting
Seattle, Washington, USA
Actively hiring, first seen by us 1 day ago- Pay
Pay amount needs review — pay source
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits. Seattle, WA, USA - 135,660.00 USD Annually
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: full-time
From the employer’s posting
Before you apply
- New graduates
- For current students
- Are enrolled in a PhD
What you’ll work on
Full postingDevelop novel RL algorithms and apply them to complex, real-world challenges
Design, develop and evaluate highly innovative ML models for complex business problems
Build scalable, automated processes for large-scale data analysis and model implementation
Research and apply the latest ML techniques from academia and industry
From the employer’s posting
with a focus on developing novel RL algorithms and applying them to complex, real-world challenges
Design, development and evaluation of highly innovative ML models for solving complex business problems
Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
Research and apply the latest ML techniques and best practices from both academia and industry.
What you’ll bring
All qualificationsCore experience
- Currently enrolled in a PhD
- Programming in Java or Python with PyTorch or JAX
- Demonstrated research depth shown through publications, thesis work, or equivalent
- Able to relocate to the internship location
- Available full-time (40 hours per week) for the whole internship
Qualification wording
Are enrolled in a PhD
Experience programming in Java, Python with PyTorch or JAX
Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions
Can relocate to where the internship is based
Must be available for full-time (40 hours per week) internship for the whole duration of the internship
Education & alternatives
A day in the life - Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. - Design, development and evaluation of highly innovative ML models for solving complex business problems. - Research and apply the latest ML techniques and best practices from both academia and industry. - Think about customers and how to improve the customer delivery experience. - Use and analytical techniques to create scalable solutions for business problems. Basic qualifications - Are enrolled in a PhD - Can relocate to where the internship is based - Experience programming in Java, Python with PyTorch or JAX - Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling - Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions - Must be available for full-time (40 hours per week) internship for the whole duration of the internship Preferred qualifications - Have publications at top-tier peer-reviewed conferences or journals - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience implementing algorithms using modern RL and deep learning toolkits (e.g. PyTorch, JAX, Stable Baselines, RLlib, or custom RL frameworks) - Experience with AI-assisted development tools to accelerate research, coding, or evaluation
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 14, 2026
- Employer says posted
- Sep 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 8 and day 76.
From 5,507 similar postings that came down. Coming down is not always a hire.
Amazon is hiring
550 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- PyTorch
Where the posting names them
A day in the life - Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. - Design, development and evaluation of highly innovative ML models for solving complex business problems. - Research and apply the latest ML techniques and best practices from both academia and industry. - Think about customers and how to improve the customer delivery experience. - Use and analytical techniques to create scalable solutions for business problems. Basic qualifications - Are enrolled in a PhD - Can relocate to where the internship is based - Experience programming in Java, Python with PyTorch or JAX - Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling - Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions - Must be available for full-time (40 hours per week) internship for the whole duration of the internship Preferred qualifications - Have publications at top-tier peer-reviewed conferences or journals - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience implementing algorithms using modern RL and deep learning toolkits (e.g. PyTorch, JAX, Stable Baselines, RLlib, or custom RL frameworks) - Experience with AI-assisted development tools to accelerate research, coding, or evaluation
- Are enrolled in a PhD - Can relocate to where the internship is based - Experience programming in Java, Python with PyTorch or JAX - Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling - Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions - Must be available for full-time (40 hours per week) internship for the whole duration of the internship Preferred qualifications - Have publications at top-tier peer-reviewed conferences or journals - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience implementing algorithms using modern RL and deep learning toolkits (e.g. PyTorch, JAX, Stable Baselines, RLlib, or custom RL frameworks) - Experience with AI-assisted development tools to accelerate research, coding, or evaluation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Your next step
Complete your application on www.amazon.jobs. The employer’s form will show what is required.
Already applied? Track this application
About Amazon
- People
- About 1,207,759 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as AMZN.
- H-1B visas
- 6,217 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 2,978 people. The latest was filed November 2, 2026.State WARN notices
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Unlock the Future with Amazon Science!
Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more.
At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.
Key job responsibilities
We are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling
In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems, and to communicate research findings clearly. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
Leverage AI-powered tools where applicable to accelerate research, experimentation, and prototyping. Critically review and validate outputs from AI tools and automated systems.
A day in the life
- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
- Design, development and evaluation of highly innovative ML models for solving complex business problems.
- Research and apply the latest ML techniques and best practices from both academia and industry.
- Think about customers and how to improve the customer delivery experience.
- Use and analytical techniques to create scalable solutions for business problems.
- Can relocate to where the internship is based
- Experience programming in Java, Python with PyTorch or JAX
- Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling
- Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions
- Must be available for full-time (40 hours per week) internship for the whole duration of the internship
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience implementing algorithms using modern RL and deep learning toolkits (e.g. PyTorch, JAX, Stable Baselines, RLlib, or custom RL frameworks)
- Experience with AI-assisted development tools to accelerate research, coding, or evaluation
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.
Seattle, WA, USA - 135,660.00 USD Annually
Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more.
At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.
Key job responsibilities
We are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling
In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems, and to communicate research findings clearly. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
Leverage AI-powered tools where applicable to accelerate research, experimentation, and prototyping. Critically review and validate outputs from AI tools and automated systems.
A day in the life
- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
- Design, development and evaluation of highly innovative ML models for solving complex business problems.
- Research and apply the latest ML techniques and best practices from both academia and industry.
- Think about customers and how to improve the customer delivery experience.
- Use and analytical techniques to create scalable solutions for business problems.
Basic qualifications
- Are enrolled in a PhD- Can relocate to where the internship is based
- Experience programming in Java, Python with PyTorch or JAX
- Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling
- Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions
- Must be available for full-time (40 hours per week) internship for the whole duration of the internship
Preferred qualifications
- Have publications at top-tier peer-reviewed conferences or journals- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience implementing algorithms using modern RL and deep learning toolkits (e.g. PyTorch, JAX, Stable Baselines, RLlib, or custom RL frameworks)
- Experience with AI-assisted development tools to accelerate research, coding, or evaluation
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 starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
Seattle, WA, USA - 135,660.00 USD Annually
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits. Seattle, WA, USA - 135,660.00 USD Annually
- Location & working pattern
Seattle, Washington, USA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.