Research Scientist, Reinforcement Learning – 2914

Seattle, US-United States
Posted 4 months ago
About The Company

This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it’s a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors.

About The Team:

Responsible for the research and application of the company’s large-scale models, exploring new applications and solutions for related technologies in the fields of search, recommendation, advertising, content creation, and customer service, to meet the growing demand for intelligent interactions from users and comprehensively improve their way of life and communication in the future world.

The main job directions include:

Exploring and developing large-scale language models and optimizing enterprise applications to the extreme
Data construction, instruction tuning, preference alignment, and model optimization
Implementation of relevant applications, including content generation, reasoning, code generation, etc.
Collaborating with cross-functional teams to produce and apply new science to more responsibly develop and deploy large language models
In-depth research and exploration of more usage scenarios in future life.


Conduct research and develop state-of-the-art algorithms in various applications of reinforcement learning;
Collaborate with software engineers and research scientists to build enterprise-level platforms with cutting-edge RL models;
Collaborate with open-source communities or academia to advance AI development.


Candidates with experience in reinforcement learning or its applications to NLP, robotics, recommender systems, etc., are preferred;
Candidates with top-tier conference papers, including ICML, NeurIPS, ICLR, CVPR, ICRA, KDD etc., relevant internship experience or winners of ACM competitions are preferred;
Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as python or java.

Job Features

Job CategoryBackend
SeniorityJunior / Mid IC
Base Salary$180,000 - $330,000

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