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2025 Research Science Internship - United States, PhD Student Science Recruiting
Job ID: 2806428 | Amazon.com Services LLC
DESCRIPTION
Do you enjoy solving challenging problems and driving innovations in research? Do you want to create scalable optimization models and apply machine learning techniques to guide real-world decisions? We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of millions of customers. As a Research Science intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, implement prototypes and work with massive datasets. As you navigate through complex algorithms and data structures, you'll find yourself at the forefront of innovation. Imagine waking up each morning, fueled by the excitement of solving intricate puzzles that have a direct impact on Amazon's operational excellence. Your day might begin by collaborating with cross-functional teams, exchanging ideas and insights to develop innovative solutions. You'll then immerse yourself in a world of data, leveraging your expertise to uncover hidden patterns and drive operational efficiencies. 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. Amazon has positions available for Research Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA. Key job responsibilities We are particularly interested in candidates with expertise in: Optimization, Causal Inference, Time Series, Algorithms and Data Structures, Statistics, Operations Research, Machine Learning, Programming/Scripting Languages, LLMs In this role, you gain hands-on experience in applying cutting-edge analytical techniques to tackle complex business challenges at scale. If you are passionate about using data-driven insights to drive operational excellence, we encourage you to apply. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. 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. A day in the life Develop and apply optimization, causal inference, and time series modeling techniques to drive operational efficiencies and improve decision-making across Amazon's fulfillment, logistics, and supply chain operations Design and implement scalable algorithms and data structures to support complex optimization systems Leverage statistical methods and machine learning to uncover insights and patterns in large-scale operations data Prototype and validate new approaches through rigorous experimentation and analysis Collaborate closely with cross-functional teams of researchers, engineers, and business stakeholders to translate research outputs into tangible business impact
BASIC QUALIFICATIONS
- Are enrolled in a PhD in operations research, applied mathematics, theoretical computer science, or equivalent - Are 18 years of age or older - Work 40 hours/week minimum and commit to 12 week internship maximum - Can relocate to where the internship is based
PREFERRED QUALIFICATIONS
- Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows - Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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IBM Careers
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Research Intern AI
- Multiple Locations See All Bangalore Gurgaon
- Software Engineering
Apply now Introduction At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk Your Role and Responsibilities
- Growth Path
- Can be converted to regular hire based on performance
- Skills required
- Excellent coding skills in Java/Python (including pandas, NumPy), Data Structures, Algorithms, Problem Solving, linear algebra, probability, statistics, Experience with VS Code, Jupyter notebooks,Git
- AI/ML fundamentals (supervised and unsupervised learning, classification, regression, neural networks, clustering etc), Learning fundamentals, Data Manipulation and Analysis for large data, AI libraries/frameworks such as TensorFlow/PyTorch, Deep Larning, Foundation Models, Large Language Models, Experience of working with platforms such as Watsonx.ai or similar
Required Technical and Professional Expertise
- Excellent coding skills in Java/Python, Data Structures, Algorithms, Problem Solving, AI/ML fundamentals (supervised and unsupervised learning, classification, regression, neural networks, clustering etc)
Preferred Technical and Professional Expertise
- AI libraries/frameworks such as TensorFlow/PyTorch, Jupyter notebooks, Deep learning fundamentals, Data Manipulation and Analysis for large data, tools (pandas, NumPy), linear algebra, probability, statistics, Git, Containerization (Docker/Kubernetes/ Openshift)
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About business unit, your life @ ibm.
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
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Summer Research Opportunities at Harvard
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This program is offered through Harvard Griffin GSAS and the Leadership Alliance .
During this 10-week program, Summer Research Opportunities at Harvard (SROH) interns conduct research and participate in discussions with Cambridge-based Harvard faculty, build their presentation and research discussion skills, and take part in field trips with other Harvard summer programs. Students in the program live in Harvard housing and enjoy access to the outstanding resources of the university.
The program is funded by Harvard Griffin GSAS, Harvard Molecules, Cells, and Organisms , Harvard Genes, Ecosystems, Organisms , and the Leadership Alliance .
Note that we also have funding for students interested in atmospheric sciences as part of the NSF-supported International Partnership in Cirrus Studies project, a collaboration including the University of Chicago, Harvard University, Princeton University, the University of Washington, and multiple European institutions. The University of Chicago has information on participating faculty . Research focuses on modeling and measurement of high-altitude clouds.
Applicants in the social sciences and humanities should feel free to write to the SROH program and indicate which Harvard faculty they have identified in their area(s) of interest and whether or not they have been in contact with said faculty.
NEW! The Department of the Classics would welcome applicants interested in fields related to Greco-Roman antiquity, including, but not limited to Republican and Imperial Latin literature, Cicero and Roman oratory, Latin historiography, reception of Latin literature, and the history of classical scholarship.
Application Process
SROH takes place between June and August. For information on eligibility requirements and how to apply, please visit the Leadership Alliance Summer Research-Early Identification Program.
Applications open on November 1, 2022, and must be submitted by February 1, 2023.
Room, Board, and Stipends
The in-person version of the program covers travel to and from the program, housing, and typically a stipend of $3,500 and a food allowance of $1,500. Students participating in MARC or similar programs that provide summer support are welcome to apply. Students are required to participate for the full period of the program.
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