Research Intern, Machine Learning for Science (AI for Science) - 2024 Summer (PhD) - San Jose

ByteDance

Oct 24, 2023

Applications are closed

Internship
Full-time
Off-cycle Internship
Data
San Jose

Requirements

Machine leaning backgrounds in fields including NLP, CV, RL, biology, materials, battery, quantum chemistry or molecular dynamics.
Proficient in python or C/C++, and have solid programming skills.
Proficient in deep learning frameworks such as PyTorch and TensorFlow.
Able to solve problems independently, good teamwork and communication skills.
Preferred Qualifications:
Candidates with top-tier conference papers, including NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, etc., relevant internship experience or winners of competitions including ACM, Kaggle are preferred

Responsibilities

Participate in the development of cutting-edge machine learning technologies in scientific areas like biology, physics, and materials.
Following SOTA methods, gains deep understanding of broad areas in scientific area.
Develop and test new ideas, end-to-end solving scientific problems.

ByteDance

Technology

Industry

10,001+

Employees

2012

Founded Year

Mission & Purpose

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. 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. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.