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About Yahoo

Yahoo is a global media and tech company that connects people to their passions. We reach nearly 1B people around the world, bringing them closer to what they love—from finance and sports, to shopping, gaming and news—with the trusted products, content and tech that fuel their day. For partners, we provide a full-stack platform for businesses to amplify growth and drive more meaningful connections across advertising, search and media.

About you

The Yahoo Research team within the Yahoo Ads Data and Common Service organization is looking for an outstanding research engineer in Taiwan. The ideal candidates must have a strong foundation as well as excellent implementation skills in machine learning/data science. The candidates will have the opportunity to conduct research and implement ML algorithms alongside top scientists/engineers using web-scale data, to make a substantial positive impact on our company and our customers, as well as to potentially contribute to the scientific and open source communities in AI/ML and related areas.

Your responsibilities Include

Work with scientists, research engineers, and product managers, dive deep into web-scale data to form an understanding of the business problem; identify, scope and formulate the research problems; design experiments and metrics to measure results; document and communicate the findings.

Work closely with the engineering partners to convert research prototypes into production codes.

Provide thought leadership to guide the direction of products and services

Review state-of-the-art approaches, explore new ones, propose appropriate solutions, publish at internal and top-tier external conferences

You Must Have

A master/PhD degree focusing on Applied Machine Learning, Data Sciences, Electrical Engineering, Statistics, Applied Math, or related fields.

Expertise in machine learning, NLP, web mining, graph mining or related field.

Strong algorithmic problem solving skills, and the ability to implement solutions in Java, Python, or similar.

Ability to explore data with SQL queries

Strong communication, presentation, collaboration and interpersonal skills

Ability to work remotely and independently across multiple timezones

Ability to work legally in Taiwan

Preferably you also have

Experience with data science tool sets like Spacy, Numpy, Pandas, Scikit-learn, etc.

Experience with deep learning toolsets like TensorFlow, PyTorch, MxNet, ONNX, etc.

Knowledge of big data tools such as Hadoop, Apache Spark, etc.

Experience in Kubernetes and AWS managed services, particularly in Big Data and Machine Learning

Prior experience doing research, documented through publications

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.

US Only: Please be aware that Yahoo requires all employees entering a U.S. Yahoo office and/or attending a company event (including client events) are required to be vaccinated for COVID-19. This position will require the successful candidate to obtain and show proof of a vaccination to enter a U.S. Yahoo office and/or attending a company event (including client events). Yahoo is an equal opportunity employer, and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.

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.