Senior AI Research Scientist

Responsibilities

• Explore workflow-aware planning, cost-optimized RAG, tool-use evaluation, and multi-agent collaboration.
• Prototype and benchmark models;
• Present findings internally and externally.
• Collaborate with Product & Engineering to ship research-backed features.
• Contribute to open-source repos and author technical blogs.

Requirements

• MS/PhD in Computer Science, ML, or related field—or equivalent experience.
• Hands-on with PyTorch/JAX and modern LLM frameworks.
• Strong publication record in top-tier ML venues (NeurIPS, ICML, ICLR) or demonstrable impactful experimental work; hands-on experience with large-scale model training, transformer architectures, reinforcement-learning techniques, and CUDA.
• Curiosity-driven and self-directed.
• Ability to explain complex ideas to non-experts.
• Team player who welcomes feedback and knowledge-sharing.