We are seeking a highly motivated PhD Research Scientist Intern to join our robotics teams at Amazon. This internship offers a unique opportunity to work on cuttingedge robotics projects that directly impact millions of customers worldwide. You will collaborate with worldclass experts tackle groundbreaking research problems and contribute to the development of innovative solutions that shape the future of robotics and artificial intelligence.
As a Research Scientist 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. Youll find yourself at the forefront of innovation working with large language models multimodal models and modern reinforcement learning techniques especially as applied to realworld robots.
Imagine waking up each morning fueled by the excitement of solving intricate puzzles that have a direct impact on Amazons operational excellence. Your day might begin by collaborating with crossfunctional teams exchanging ideas and insights to develop innovative solutions in robotics and AI. Youll then immerse yourself in a world of data and algorithms leveraging your expertise in large language models and multimodal systems to uncover hidden patterns and drive operational efficiencies.
Throughout your journey youll have access to unparalleled resources including stateoftheart computing infrastructure cuttingedge 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 fastpaced innovative environment where bold ideas are celebrated.
Amazon has positions available for Research Scientist Internships in but not limited to Bellevue WA; Boston MA; Cambridge MA; New York NY; Santa Clara CA; Seattle WA; Sunnyvale CA and San Francisco CA.
We are particularly interested in candidates with expertise in: Robotics Computer Vision Artificial Intelligence Causal Inference Time Series Large Language Models MultiModal Models and Reinforcement Learning.
In this role you gain handson experience in applying cuttingedge analytical and AI techniques to tackle complex business challenges at scale. If you are passionate about using datadriven insights and advanced AI models to drive operational excellence in robotics we encourage you to apply.
The ideal candidate should possess the ability to work collaboratively with diverse groups and crossfunctional teams to solve complex business problems. A successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail and have the ability to thrive in a fastpaced everchanging environment.
A day in the life
Work alongside global experts to develop and implement novel scalable algorithms in robotics incorporating large language models and multimodal systems.
Develop modeling techniques that advance the stateoftheart in areas of robotics particularly focusing on modern reinforcement learning for realworld robotic applications.
Anticipate technological advances and work with leadingedge technology in AI and robotics.
Collaborate with Amazon scientists and crossfunctional teams to develop and deploy cuttingedge robotics solutions into production leveraging the latest in language models and multimodal AI.
Contribute to technical white papers create technical roadmaps and drive productionlevel projects that support Amazon Science in the intersection of robotics and advanced AI.
Embrace ambiguity maintain strong attention to detail and thrive in a fastpaced everchanging environment at the forefront of AI and robotics research.
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
Experience with at least one modern language such as Java Python C or C# including objectoriented design
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $102.31/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.