- Participate in cutting-edge research on machine learning, deep learning, natural language processing, computer vision, recommendation systems, search ranking and other fields
- Collaborate closely with our research team and work in the ever-growing field of machine learning fairness and responsible AI. This includes but is not limited to AI interpretability & explainability, causal inference and robustness
- Participate in model building, performance optimisation, and project deployment
- Currently enrolled in a bachelor's or master's degree, with the opportunity to include a 12-month Industrial Placement as part of your course
- Currently enrolled in a bachelor's or master's degree, with the opportunity to include a 12-month Industrial Placement as part of your course
- Studying computer science/mathematics/computational statistics or related technical discipline
- Available from June for 12 months
- Passion for modern machine learning and cutting-edge technology
- Good programming ability, proficiency in at least one programming language, such as Python, C/C++, etc. (Python preferred)
- Excellent communication skills, teamwork spirit and analytical skills
Company
Location
London, England - United Kingdom
Job type
Full-Time
Python Job Details
Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including London, Los Angeles, New York, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. 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 TikTok.
We are looking for talented individuals to join us for a twelve-month industrial placement internship, starting in Summer 2023. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.
Our Machine Learning Fairness team in London is working on challenging problems in the field of Responsible AI, specifically focusing on Fairness, Transparency and Explainability. Working at Tiktok gives you the unique opportunity to do cutting-edge research from an academic perspective (including publishing papers) but also offers you opportunities to deploy your model into production and affect millions of users.
Responsibilities:
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including London, Los Angeles, New York, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. 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 TikTok.
We are looking for talented individuals to join us for a twelve-month industrial placement internship, starting in Summer 2023. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.
Our Machine Learning Fairness team in London is working on challenging problems in the field of Responsible AI, specifically focusing on Fairness, Transparency and Explainability. Working at Tiktok gives you the unique opportunity to do cutting-edge research from an academic perspective (including publishing papers) but also offers you opportunities to deploy your model into production and affect millions of users.
Responsibilities:
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