Research Sciences INTERN

Job description

Analyze and improve performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications. Implement prototypes of scalable systems in AI applications. Collaborate closely with team members on developing systems from prototyping to production level. Develop solutions for real world, large-scale problems. Under instruction from others, research new tools, technologies, and methods being used in the research community and contribute your knowledge around a specialized tool/method to support planning for research projects.

Currently pursuing a Master's or a Doctorate Degree in a relevant field Must have at least one additional quarter/semester of school remaining following the completion of the internship Experience in designing scalable data systems, applying Large Language Models (LLMs) and machine learning techniques to large-scale data applications, or integrating both approaches. Experience with Demonstrated ability to develop original research agendas.

Ability to collaborate effectively with other researchers and product development teams. Proficient interpersonal skills, cross-group, and cross-culture collaboration. Ability to think unconventionally to derive creative and innovative solutions. In addition to the qualifications above, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples.

After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.