Job
Research Scientist in Machine Learning for Science (AML - AI-for-Science) - 2024 Start (PhD) - Seattle
ByteDance
•
Jan 13
💼 Graduate Job
Seattle
AI generated summary
- Machine learning technical background in various fields, strong programming skills (python or C/C++), proficiency in deep learning frameworks (PyTorch and TensorFlow), independent problem-solving abilities, good teamwork and communication skills, and preferably top-tier conference papers or relevant internship experience.
- The Research Scientist in Machine Learning for Science at ByteDance in Seattle will actively contribute to the advancement of machine learning methods in biology, physics, and materials by gaining in-depth knowledge, developing and testing new ideas, and solving scientific problems.
Description
- The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
- Our goal is to create breakthroughs in natural science with new methodology and help the world.
- We are looking for talented individuals to join our team in 2024. 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.
Requirements
- Machine leaning technical backgrounds in areas like NLP, CV, RL, biology, materials, battery, quantum chemistry or molecular simulation.
- 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 ACM competitions are preferred
Education requirements
Bachelors
Area of Responsibilities
Data
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 scientifc problems.
Details
Work type
Full time
Work mode
office
Location
Seattle