Intern - Research Engineering

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

A Little About Us

Yahoo Finance is the world's largest business and financial information app/site, offering unrivaled access to data, insights, tools, and original editorial content. Under new leadership, we are dedicated to revitalizing this trusted resource for investors and savers. With 50+ million unique users each month, Yahoo Finance provides incredible opportunities for brands to connect with consumers. Our GenAI squad within the Finance Engineering organization focuses on creating AI-powered experiences to simplify multi-dimensional financial data for our users. As a research intern, you will collaborate with our software and research engineers to develop cutting-edge AI-powered features, impacting millions of users daily.

A Lot About You

As a research intern in our GenAI squad, you will apply and advance state-of-the-art machine learning, natural language processing, and information retrieval methods and technologies. Your scientific expertise and technical skills will be vital as you:

• Identify, scope, and formulate ill-defined problems
• Design metrics and experiments to analyze and measure results
• Review and correlate state-of-the-art approaches with existing problems to recommend solutions
• Prototype and evaluate solutions based on agreed goals, approaches, and metrics
• Generate intellectual property through patent applications and/or publications at relevant forums
• Work and communicate effectively with each partner to implement research results successfully

Leveraging relevant data and advanced machine learning techniques, you will research and prototype innovative solutions that enhance our AI capabilities and contribute to the broader Yahoo mission.

Responsibilities

• Develop next-generation features for Yahoo Finance with a focus on personalization and community enhancement.
• Collaborate closely with peers, product managers, and engineering leaders to design and implement new features and enhancements.
• Engage in hands-on development and experimentation with cutting-edge machine learning technologies and frameworks like TensorFlow or PyTorch.
• Apply deep learning theories and practices to solve real-world problems, including information extraction, knowledge management, and natural language processing.
• Utilize your Python programming skills within the Python data ecosystem while working comfortably in a Unix environment.
• Communicate effectively in English, both orally and in written form, to share ideas and contribute to team success.

Qualifications

• Actively enrolled in a Master's, or Ph.D. program in Computer Science or a related field.
• Strong foundation in computer science with a particular emphasis on machine learning and a solid understanding of deep learning theory.
• Demonstrated experience or strong interest in information extraction, knowledge management, natural language processing, or computer vision.
• Solid Python programming skills and familiarity with the Python data ecosystem and machine learning frameworks like TensorFlow or PyTorch.
• Basic understanding of software development design patterns and debugging tools.
• Strong team player with the ability to listen, communicate personal goals clearly, and incorporate opposing opinions with thoughtful reasoning.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

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 will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. 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 +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion (www.yahooinc.com/diversity/) page to learn more.

The compensation for this position ranges from $24-$52/hr and will vary depending on factors such as your location, skills and experience. Yahoo provides industry leading benefits for our interns including 401k plan, company holidays, and Summer Fridays. Eligibility requirements apply.

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.

Currently work for Yahoo? Please apply on our internal career site.