Thegradcafe - San Jose, CA

posted 4 months ago

Full-time - Entry Level
San Jose, CA

About the position

As an AI Research Scientist Graduate specializing in Applied Machine Learning at ByteDance, you will be part of a dynamic team that is at the forefront of AI technology development. The Applied Machine Learning (AML) team serves as ByteDance's central AI organization, focusing on research and engineering to build and deploy state-of-the-art AI core technologies. This includes working on large language models (LLMs), recommendation systems, and other advanced AI applications. Your role will involve participating in the development of cutting-edge AI technologies and applying these technologies to various business scenarios, ensuring that our innovations are not only theoretical but also practical and impactful. You will collaborate closely with software engineers to build enterprise-level applications that leverage these advanced models, ensuring that the solutions we create are robust and scalable. Additionally, you will have the opportunity to engage with open-source communities and academic institutions to further advance AI development, contributing to the broader AI research landscape. This position is designed for recent PhD graduates who are eager to kickstart their careers in AI and are looking for an environment that fosters creativity, innovation, and growth. At ByteDance, we believe that every challenge is an opportunity to learn and grow. We are looking for individuals who are not only technically proficient but also possess a strong sense of responsibility, excellent communication skills, and a collaborative spirit. You will be encouraged to explore new technologies and promote technological progress within the team, making a significant impact on our projects and the company as a whole.

Responsibilities

  • Participate in the development of cutting-edge AI technologies and apply technology to different business scenarios.
  • Collaborate with software engineers to build enterprise-level applications with cutting-edge models.
  • Collaborate with open-source communities or academia to advance AI development.

Requirements

  • PhD graduate in Computer Science, Computer Engineering, or a relevant technical field.
  • Candidates with influential open-source projects or publications at top-tier AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) are preferred.
  • Solid programming skills, good programming styles and working habits.
  • Strong sense of responsibility, good learning ability, communication ability, and self-motivation.
  • Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.
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