Research Scientist – Generative AI
| Company | Rakuten International |
|---|---|
| Location | Boston, MA, USA, Seattle, WA, USA |
| Salary | $105435 – $179740 |
| Type | Full-Time |
| Degrees | Bachelor’s, PhD |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- Ph.D. in AI, computer science, or a related discipline.
- Proven experience in a research-focused role within industry, academia, or government institutions.
Responsibilities
- Drive and execute cutting-edge research to advance the state-of-the-art in generative AI and large language models, contributing to areas such as multilingual modeling, code generation, multimodality.
- Design and conduct experiments, including experimental design, code development, evaluations, and results analysis, ensuring research outcomes are reusable and impactful.
- Own and pursue an independent research agenda, identifying impactful research problems, designing innovative solutions, and carrying out long-running projects.
- Work collaboratively within a globally distributed research team, and foster partnerships across the organization to align on shared goals and maximize the impact of research outcomes.
- Contribute to publications, open-source projects, and knowledge-sharing efforts, enhancing the visibility and reach of research findings.
- Set ambitious long-term research goals and develop intermediate milestones to advance our understanding and capabilities in generative AI.
- Mentor junior researchers and promote a healthy, cross-functional team environment.
Preferred Qualifications
- Extensive experience in generative AI and LLM research, with a focus on creating high-performance implementations of deep learning algorithms.
- 2+ years of work experience in a research position at a university, industry, or government lab.
- First author publications in leading AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).
- Proficiency in Python and deep learning frameworks, with skills in developing, debugging, and optimizing research code.
- Strong interest in the ethical implications of AI technology and a thoughtful approach to responsible AI development.