[Jobs] Research Internships at ByteDance AI Lab (Remote within Europe) - 2021 Start

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Dell Zhang

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2021年9月15日 上午11:11:212021/9/15
收件者:Reinforcement Learning Mailing List
Position: Research Intern
Location: Remote within Europe
Research Area: Responsible AI (Machine Learning Fairness etc.)

# Background

Founded in 2012, ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies. With a suite of more than a dozen products, including TikTok, Douyin, Toutiao, Lark, Helo and Resso, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages.

Our new MLF (Machine Learning Fairness) team based in the TikTok London office is dedicated to building a technology center to provide technical support for all ByteDance products from the perspectives of Responsible AI. We are looking for PhD student interns who have solid technical skills while being passionate about pursuing excellence in machine learning fairness and related areas.

Please note that this role is to start immediately, not in 2022.

# Responsibilities

- Conduct research and development of technologies on machine learning fairness and more generally AI ethics (including but not limited to machine learning explainability, robustness, and privacy);
- Carry out design and analysis of ethical machine learning algorithms, and apply them to recommendation, search, CV, NLP and other products;
- Work closely with other researchers in the global MLF team;
- Publish research results in prestigious conferences and journals, or file patents.

# Qualifications

- Currently in the process of obtaining a PhD degree in the relevant field (including but not limited to machine learning, data mining, information retrieval, natural language processing, computer vision, and statistics) 
- In-depth understanding of machine learning;
- Solid mathematical background and coding ability;
- Publications at top theoretical/applied machine learning conferences  (e.g. ICML, NeurIPS, ICLR, SIGIR, WWW, WSDM, KDD, and FAccT) would be a big plus.

To apply for this position, please visit:

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