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Applied Scientist Intern (PhD)
On-siteNot specifiedArtificial Intelligence ResearchCloud ComputingeCommerceVideo Streaming
PhD students will research, design, and implement advanced scientific and AI solutions, taking projects from initial research through production deployment. Interns are matched with a team based on their research interests. Internships are not remote; duration and full-time or part-time format vary,
Responsibilities
- Research, design, and implement state-of-the-art algorithms, models, and technical solutions
- Own end-to-end system development, from project scoping through implementation
- Collaborate with scientists and cross-functional teams to solve complex problems
- Deploy research solutions into production
- Write technical white papers, develop roadmaps, and drive production-level projects
Requirements
- Currently enrolled in a PhD program in computer science, machine learning, engineering, or a related field
- Programming experience in Java, C++, Python, or a related language
- Fluent English speaking, writing, and reading
Nice to have
- Publications in leading peer-reviewed conferences or journals
- Experience applying machine learning, data mining, and statistical algorithms to business problems
- Experience designing experiments and analyzing results statistically
- Experience implementing algorithms with toolkits and custom code
Benefits
- Competitive salary
- Experienced manager and mentor
- Intern events and networking opportunities
- Potential to publish research at leading conferences
- Potential return offer, subject to performance and headcount availability