Principal Applied Scientist
Seeking a Principal Applied Scientist to research and develop novel AI agents, focusing on agentic systems, multi-step reasoning, and tool use. This role involves pushing the boundaries of AI agent capabilities and contributing to impactful AI products.
What you'd actually do
- Research and develop novel AI agents, focusing on agentic systems, multi-step reasoning, and tool use.
- Push the boundaries of AI agent capabilities and contribute to the advancement of the field.
- Collaborate with a team of researchers and engineers to design, implement, and evaluate AI systems.
- Publish research findings in top-tier conferences and journals.
- Mentor junior scientists and engineers.
Skills
Required
- PhD in Computer Science, AI, or related field
- Proven track record of research and development in AI agents
- Expertise in agentic systems, multi-step reasoning, and tool use
- Strong programming skills in Python
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
- Excellent communication and collaboration skills
Nice to have
- Experience with large language models (LLMs)
- Familiarity with RAG and vector databases
- Experience with cloud platforms (Azure, AWS, GCP)
- Publications in top AI conferences (e.g., NeurIPS, ICML, ICLR)
What the JD emphasized
- novel AI agents
- agentic systems
- multi-step reasoning
- tool use
- push the boundaries
- advancement of the field
- research findings
Other signals
- Develops and deploys novel AI agents
- Focuses on agentic systems and multi-step reasoning
- Contributes to the advancement of AI agent capabilities