Machine Learning Researcher (Reasoning Agent) Intern - 2025 Start

at  ByteDance

About 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 and Helo 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.
About the Team
Our team focuses on the reasoning ability of LLM in human level and super human level. We invite researchers and engineers with a background in machine learning at all levels. We aim at pushing the limits of machine intelligence.
We are looking for talented individuals to join us for an internship in 2025. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance.
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 ByteDance and its affiliates’ jobs globally.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.

Responsibilities

• Design and execute technical and theoretic research on mathematical reasoning of LLM
• Collaborate on research projects within the team or across countries
• Present research outcomes to internal and/or external audiences
• Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams

MINIMUM QUALIFICATION:

• Undergraduate currently pursuing a Degree/Master/PhD in Computer Science, engineering quantitative field in Software Development, Computer Science, Computer Engineering, or a related technical discipline
• Rich experiences and strong skills in development of technologies in some of the following areas: large scale RL and/or RLHF, planning and search, LLM-based training and/or inference, etc
• Strong coding skills
• Experienced in tuning and analyzing deep learning experiments
• Experience in Deepspeed/Megatron
• Work and collaborate well with team members

PREFERRED QUALIFICATION:

• Candidates with top conference papers, coding competition awards or influential open-source projects are preferred
• Candidates with experience in Lean4/coq/Isabelle programming are preferred
• Candidates with experience in Ray/Rllib or other distributed RL library/package
  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.
  By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.
  If you have any questions, please reach out to us at apac-earlycareers@bytedance.co

• Design and execute technical and theoretic research on mathematical reasoning of LLM
• Collaborate on research projects within the team or across countries
• Present research outcomes to internal and/or external audiences
• Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech team