Applied Scientist Internship

Amazon is seeking passionate and skilled individuals for the role of Applied Scientist Intern. This internship offers the opportunity to work on cutting-edge Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision projects that solve real-world problems at massive scale. You will be part of a dynamic, fast-paced, and cross-disciplinary research team at the forefront of innovation. As an Applied Scientist Intern, you will: Develop data-driven algorithms and models for Amazon's customer-facing products Apply statistical modeling and machine learning to real-world industrial scenarios Collaborate with top-tier scientists, engineers, and product managers Prototype, test, and potentially deliver your solutions to production Engage in original research or implement practical solutions based on existing knowledge Key Responsibilities Design, build, and test models using large-scale datasets Innovate solutions for problems not yet solved at scale Leverage state-of-the-art ML and AI tools Communicate technical findings effectively across teams Maintain a strong attention to deadlines and quality of work Internship Requirements Internship Duration: Full-time Availability: Must commit full-time during the internship duration without conflicts from academic courses, exams, or other commitments University Declaration: A signed declaration from a university authority ensuring full availability is mandatory Note: Exam-related absence must be pre-communicated with the reporting manager Eligibility Must be 18 years or older at the time of application Must be currently pursuing or recently completed a Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or a related technical field Eligible Batches: 2025, 2024, 2023 Basic Qualifications Proficiency in at least one programming language: Python, Java, C/C++, or Perl Strong foundation in data structures, algorithms, and computer science fundamentals Preferred Qualifications Research experience in one or more of the following: Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision Data Science Publications or presentations at top-tier ML/AI conferences such as: ICML NeurIPS CVPR ICASSP KDD

Amazon is a global technology and e-commerce leader headquartered in Seattle, Washington. Founded by Jeff Bezos in 1994, Amazon's mission is "to be Earth's most customer-centric company," striving to offer customers the lowest possible prices, the best available selection, and the utmost convenience. The company operates the world's largest online marketplace, Amazon.com, and has diversified into cloud computing (Amazon Web Services), digital streaming, artificial intelligence, and consumer electronics, including devices like Kindle, Echo, and Fire TV. With over 1.5 million employees worldwide as of 2024, Amazon is one of the largest employers globally and consistently ranks among the most valuable brands. The company is renowned for its logistical prowess, rapid delivery services (such as Prime), and innovation in areas like cashierless retail (Amazon Go) and cloud infrastructure. Recently, Amazon has made headlines for its continued expansion into healthcare, generative AI, and sustainability initiatives, including a commitment to reach net-zero carbon by 2040.