Data Science Intern, Summer 2024

Key Skills

Aartificial intelligence, Effective communication skills, Generative AI, Machine learning techniques, Python Programming, PyTorch, Scikit-learn, TensorFlow

Job Description

About Internship Program

This internship will run from from July 1, 2024, to August 30, 2024, for a consecutive 9 weeks on full time basis.

Yahoo will be prioritizing applicants who have a current right to work in Taiwan, and this internship position is not available for Yahoo's visa sponsorship. Participants must be located in Taiwan throughout the duration of the program.

Hiring team will review applications on a rolling basis (first come, first serve) and we might close the application in advance according to the hiring status, so if an internship at Yahoo sounds exciting then get applying earlier!

Yahoo welcomes people with disabilities.

A Little About Us

The Taiwan team develops and operates 30+ websites and mobile apps including Homepage, News, Finance, Entertainment, TV Lives, and Commerce; providing premium digital content to millions of users every day and helping us dominate in the TW/HK market. The team pioneers and provides solutions and technologies in machine learning, recommendation and personalization, information extraction, knowledge graph construction and management, and information retrieval. Our team’s work has a direct impact on the quality of various products and services at Yahoo.

A Lot About You

Interns are expected to work with our research engineers to apply scientific thinking and techniques to improve the performance and effectiveness of our products, as well as retrieval system engineering. You might also need to perform metrics analysis for further model enhancement and build up a fast prototype to demonstrate the algorithm. You will have the opportunity to publish your work and expand the horizons of web science and the experience of building online systems.

Your Day

You are expected to work with our AI engineers to apply scientific thinking and techniques to improve the performance and effectiveness of our products, as well as retrieval software engineering. You might also need to perform metrics analysis for further model enhancement and build up a fast prototype to demonstrate the algorithm. You will have the opportunity to publish your work and expand the horizons of web science and the experience of building online systems.

Requirements:

• Currently enrolled in an accredited higher education institution and actively pursuing a Bachelor's or Master's in Computer Science, Software Engineering, or related technical field
• Enthusiastic about artificial intelligence, machine learning, and Generative AI, backed by some level of expertise or coursework.
• Proficient in Python programming, capable of producing tidy and effective code.
• Familiarity with machine learning frameworks and libraries like OpenAI, TensorFlow, PyTorch, or scikit-learn is advantageous.
• Good communication and collaboration skills to work with people from a variety of technical background and geographical locations

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements.

If you’re curious about how this factors into this role, please discuss with the recruiter.