Research Scientist, Multimodal - AML - job 1 of 2

Responsibilities
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:
The Applied Machine Learning (AML) team is committed to the research and deployment of the next-generation of AI core technologies, such as large pretrained models and device-cloud collaboration learning, as well as their wide applications in practice, including but not limited to search, recommendation, advertising, auditing, federated learning, etc. The team has a strong foundation in scientific research, engineering and product implementation. Team members have rich backgrounds covering NLP, CV, multimodality, graph computing, search and recommendatoin, federated learning and other fields, and have published more than 100 top-tier conference papers.

Responsibilities:

• Design and deploy state-of-the-art models in various downstream applications;
• Collaborate with software engineers to build enterprise-level platform with cutting-edge models;
• Collaborate with open-source communities or academia to advance AI development.
• Guide the team review, participate in the formulation of technical standards, such as development specifications and document specifications, etc.

Qualifications:

• Candidates with research or technical backgrounds in NLP, CV, video understanding, large pre-trained models, recommender systems, advertising systems, federated learning, or participating in large-scale online machine learning platforms are preferred
• Candidates with pre-training foundation technologies, including efficient training and pre-training as a service, downstream applications of NLP/CV/Video are preferred
• Candidates with top-tier conference papers, including NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, etc., relevant internship experience or winners of ACM competitions are preferred
• Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as python or java.
• Be able to combine the industry's technological development trends, give reasonable short-term planning for the direction in charge, and independently complete the design and implementation of the system to ensure a reasonable structure, high-quality code, and efficient and stable systems

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 kayla.wong@bytedance.com