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Research Scientist, AI Relevance (PhD)

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United States  Menlo Park, United States
Internship, Science/Research, English
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Job Description:

This team will support research and development in AI for personalization and user/content understanding. The team is responsible for building advanced ML models and devising novel algorithms in collaboration with research scientists and software engineers from various research and product teams, aiming at pushing forward SOTA in applied research and generating real impact. In this role, you will closely work with colleagues in (COMPANY NAME) AI Applied Research (FAIAR) and several product teams such as Feed and Instagram to identify highly impactful opportunities and collaboratively develop advanced ML solutions for world class personalization products that consumed by billions of users. You will build deep expertise with (COMPANY NAME) scale data and gain highly valuable experience in AI/ML with real impact to understand users' interests and the evolution over time, bringing users to what they are truly interested in and connecting the world more closely together.

Research Scientist, AI Relevance (PhD) Responsibilities

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Develop highly scalable models and algorithms based on state-of-the-art ML/AI technology to build intelligent user experiences.

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Collaborate with researchers and software engineers in (COMPANY NAME) AI Applied Research (FAIAR) as well as several product teams to bring advanced techniques into real products.

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Work with technical leads and product managers to identify product opportunities, propose solutions, implement relevant models and benchmarks possible approaches.

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Adapt graph learning and mining techniques to innovate personalized recommendation for both accuracy and interpretability.

Minimum Qualifications

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Currently has or is in the process of obtaining PhD degree in Computer Science, Computer Engineering, or related quantitative fields.

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5 or more years of experience in one or more of the following areas: Machine Learning, artificial intelligence, data mining, AI system, graph analytics, etc.

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Knowledge in developing and debugging in Python and C++ for ML applications.

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Experience with big data systems and tools.

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Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

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Research and software engineer experience demonstrated via an internship, work experience, coding competitions.

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Experience with algorithm design and systems software development for user interest modeling and preference understanding.

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Experience with graph algorithms, GNN models, graph systems, and distributed systems.

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Experience with high performance computing and systems.

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First-authored publications at peer-reviewed conferences (e.g. ICLR, ICML, KDD, WWW, or similar).

Locations

About the (COMPANY NAME) company

(COMPANY NAME)'s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at (COMPANY NAME) are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

(COMPANY NAME) is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to axxxxxxxxxxxxx-xxx@xx.xxm

Source: Company website
Posted on: 08 Apr 2021
Type of job: Internship
Industry: Internet / New Media
Languages: English
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