Please enter keywords
Gain real-world experience
Fast-track your career
Build skills this summer
Practical winter break experience
Kickstart your career now
Advance your career path
Work from home easily
Inclusive roles for all
Use our search tools and filters to narrow down opportunities by category, location, and job type.
Please log in to create a job alert.
Amazon is relentlessly pushing the boundaries of machine learning, generative AI, and quantum computing to invent state-of-the-art solutions for unprecedented global challenges. Recru by Egyincs presents this “Golden Opportunity” for visionary MS and PhD students to embed themselves within the...
Amazon is relentlessly pushing the boundaries of machine learning, generative AI, and quantum computing to invent state-of-the-art solutions for unprecedented global challenges. Recru by Egyincs presents this “Golden Opportunity” for visionary MS and PhD students to embed themselves within the elite Amazon Science community. This internship is a premier launchpad to redefine tomorrow by deploying revolutionary algorithms into high-impact, enterprise-level production.
Spearhead the end-to-end design, development, and deployment of state-of-the-art machine learning systems and complex algorithmic models.
Orchestrate the execution of technical roadmaps and drive production-level projects that directly support the global Amazon Science ecosystem.
Liaise seamlessly with elite Amazon scientists and cross-functional engineering teams to invent novel, data-driven solutions for never-before-solved business bottlenecks.
Streamline the translation of complex theoretical frameworks into scalable, customer-focused enterprise applications.
Cultivate scientific excellence by writing rigorous technical white papers and potentially publishing research at top-tier industry conferences.
Qualifications & Technical Acumen:
Educational Background: Currently enrolled in a Master’s or PhD program in Computer Science, Machine Learning, Engineering, Operations Research, Statistics, or a closely related quantitative field.
Programming Sovereignty: Advanced, hands-on programming experience in Java, C++, Python, or related languages, with a proven capability of implementing algorithms from scratch.
Research Excellence: A strong preference for candidates with publications at top-tier, peer-reviewed conferences or journals.
Behavioral Competencies:
Strategic Translation: The ability to solve complex commercial business problems through data mining and statistical algorithms, bridging the gap between academia and industry.
Collaborative Leadership: Exceptional interpersonal skills designed to influence and collaborate across diverse, cross-functional global teams.
The Hidden Intent: When Amazon’s Talent Acquisition Team looks for an intern to “drive production-level projects” and “write technical white papers,” they are actively filtering out purely theoretical academics. They are hunting for an Academic Translator. Many MS and PhD candidates can write brilliant code in a vacuum, but the hiring managers want to know if you possess the strategic foresight to link your complex models to a tangible business or customer impact.
Tactical Advice: During your technical interviews, do not get entirely lost in the mathematical weeds of your thesis. Instead, use the STAR method to connect your research directly to a commercial outcome. Command the room with a statement like: “I design machine learning models not merely to achieve theoretical accuracy, but to orchestrate scalable solutions that directly streamline customer experiences and mitigate operational inefficiencies.” This specific framing immediately elevates your profile from a standard researcher to a high-ROI Applied Scientist.
