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Research Scientist, Machine Learning Fairness University Graduate (AI-Lab Research)- 2023 Start (PhD)

ByteDance
Mountain View, CA Full Time
POSTED ON 11/14/2022 CLOSED ON 11/5/2023

What are the responsibilities and job description for the Research Scientist, Machine Learning Fairness University Graduate (AI-Lab Research)- 2023 Start (PhD) position at ByteDance?

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us
At ByteDance, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for millions of users across all of our products. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at ByteDance.

About the team:
Our MLF (Machine Learning Fairness) team is dedicated to building a technology center to provide technical support for all ByteDance products from the perspectives of machine learning fairness. We are looking for machine learning researchers who have solid technical skills while being passionate about pursuing excellence in machine learning fairness and related areas.
We are looking for talented individuals to join our team in 2023. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Successful candidates must be able to commit to one of the following start dates below:
1. January 16, 2023
2. February 6, 2023
3. March 6, 2023
4. May 22, 2023
5. June 12, 2023
6. July 17, 2023
7. August 14, 2023

We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.

Application deadline: February 15th, 2023
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:
  • Research and development of technologies on machine learning fairness and AI ethics for products (including but not limited to machine learning interpretability, robustness, and privacy);
  • Conduct research on machine learning fairness and collaborate with experts in the fields in academia and industry
  • Carry out design and theoretical analysis of algorithms, and apply them to recommendation, search, CV, NLP and other fields.
  • PhD graduates in machine learning and other related fields;
  • In-depth understanding of machine learning with rich experiences in relevant fields;
  • Solid mathematical background and coding ability
  • Publications at the top conferences is a big plus
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Bytedance is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at Accommodations-AMS@tiktok.com.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
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