AI Research Scientist, Singapore
Salary not listed • Singapore - Singapore • Full-time
Posted 2d ago
Job Location
Singapore - Singapore
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Research Engineer
About the job
Salesforce AI Research Labs is at the forefront of Generative AI, Natural Language Processing (NLP), and Deep Learning, with a history of pioneering advancements like Einstein GPT, CodeGen, and Moirai. This role is not traditional research; you will act like a founder, identifying high-impact research directions, prototyping cutting-edge AI capabilities, validating ideas with customers, and turning the strongest concepts into production-ready solutions. You'll have the freedom to incubate new ideas, access Salesforce's global customer and product ecosystem, and quickly validate innovations. We seek individuals comfortable with ambiguity, moving with urgency, and caring about customer adoption as much as technical innovation, offering the pace of a startup with the reach of Salesforce.
Responsibilities
- Own and pursue ambitious, long-term research goals.
- Develop solutions for real-world, large-scale problems.
- Lead teams to deliver on complex pure and applied research projects.
- Identify research directions with the potential to transform Enterprise AI.
- Turn promising ideas into zero-to-one AI product prototypes.
- Work directly with customers to validate needs, test solutions, and refine product direction.
- Build robust models, agents, and AI systems for real-world enterprise use.
- Partner with product, engineering, and go-to-market teams to bring solutions to market.
Requirements
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Publication record in top AI venues (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ECCV, ICCV).
- Experience with one or more general-purpose programming languages (C/C++, Python, etc.).
- Experience with deep learning libraries/platforms (TensorFlow, JAX, PyTorch, etc.).
- Experience with Python and modern deep learning frameworks.
- Proven ability to implement, operate, and deliver results via innovation at large scale.
- Demonstrated ability to conduct independent research and translate ideas into impactful systems.