Research Scientist Graduate (Foundation Models for Science - ByteDance Research) - 2025 Start (PhD)

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 Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us. Our team at ByteDance Research has been focusing on building foundation models for science, including biology, physics, and chemistry. We are looking for outstanding researchers to join our team and conduct cutting-edge research in AI for Science. We are looking for talented individuals to join our team in 2025. 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 Bytedance. Successful candidates must be able to commit to an onboarding date by end of year 2025. We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to Bytedance and its affiliates' jobs globally. Responsibilities: - Develop foundation models for nature science, such as protein structure prediction, molecular conformation analysis, and computational protein design. - Replicate and assess emerging AI/ML methods using public benchmarks and databases. - Collaborate closely with the multidisciplinary drug discovery team, applying inventive algorithms to cutting-edge challenges. - Stay updated with the latest scientific literature. - Communicate and elucidate computational models and AI techniques to a diverse audience spanning multiple disciplines.

Minimum Qualifications: - Pursuing a Ph.D. in fields like computer science, electrical computer engineering, or related areas. - Strong research background in AI and machine learning with solid publications in leading conferences (e.g., ICML, NeurIPS, ICLR) and journals, encompassing areas like large language models, diffusion models, geometric deep learning, natural language processing, computational protein design, protein structure and conformation prediction, and related fields. - Proficient in Python programming and deep learning platforms like Pytorch. - Must secure work authorization in the country of employment upon hiring and maintain ongoing work authorization throughout employment. 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 bring joy. 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 Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2