Research Software Developer - Content Discovery

Job Description

Hulu's Content Intelligence team is dedicated to better connecting contents with users through deep understanding of the contents. The team analyzes large scale Hulu contents (movies, series/episodes, news/sports) with multimodal information (video, textual metadata, speech, user behavior), generates content understanding data (like embeddings/tags/relevance) and applies them to Hulu's recommendation/search/campaign systems to gain business values.

Now Content Intelligence team is seeking a research software developer (RSDE) who will be an outstanding addition to the team. As a RSDE in the team, you will design and develop cutting-edge algorithms/models in content understanding and recommendation areas. The right candidates for this role are talents who have experience in multimodal content understanding (CV/NLP) and content-based video recommendation. If you are self-motivated and passionate about solving challenging problems with machine learning techniques, then this is a great role for you.

WHAT YOU'LL DO
• Apply state-of-the-art machine learning techniques in a variety of areas, such as content representation, relevance prediction and video recommendation.
• Design and develope scalable and efficient algorithms/models for large scale content understanding and recommendation tasks.
• Invent and iterate on novel solutions to challenging machine learning problems.
• Collaborate with developers, program managers and product managers in an open and creative environment.

WHAT TO BRING
• MS or Ph.D. in computer science, EE or other related fields.
• 4+ years of working experience on large scale machine learning, multi-modal content understanding, NLP/CV in leading internet companies. Experience in personalized recommendation is highly preferred.
• Outstanding research track record in the areas of machine learning, content analysis/recommendation. Publications in renowned journals, conferences would be a big plus.
• Familiarity with Python, C++ or any other OOP language.
• Excellent written and oral communication skills. Chinese Mandarin proficiency is required.

Jobcode: Reference SBJ-gwxwjn-18-222-69-152-42 in your application.