2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning)[...]

Amazon; Seattle (WA); On-site; USD 41,328 - 55,104; Full time

Benefits offered by this job

Access to state-of-the-art resources

Mentorship from industry leaders

Immersive experience in AI research

Job summary

A leading technology and innovation company is looking for graduate student scientists for Machine Learning Applied Science Internships. Successful candidates will engage in cutting-edge research in deep reinforcement learning and develop solutions to complex industry problems. This internship provides access to advanced resources and mentorship while fostering an innovative work environment. Opportunities are available in multiple locations, including Seattle, WA.

Qualifications

• Graduate student in a related field with knowledge in machine learning and AI.
• Skills in deep reinforcement learning and advanced statistical modeling.
• Ability to work collaboratively in an innovative environment.

Responsibilities

• Conduct research into the theory and applications of deep reinforcement learning.
• Propose and deploy machine learning solutions to complex problems.
• Collaborate with product managers and scientists to drive innovation.

Skills

Machine learning

Deep reinforcement learning

Statistical modeling

Graph models

Bayesian optimization

Time series analysis

Job description

Overview

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 conduct 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.