VP of Research, Machine Learning

Tasks

• Build evaluation frameworks for real world usefulness robustness safety
• Collaborate with product and application engineering on intelligence integration
• Define research direction for AI intelligence
• Design context representation and memory
• Develop reasoning planning and orchestration strategies
• Drive multimodal system development
• Explore mixture of experts and distillation techniques
• Guide retrieval augmented training
• Lead multi agent orchestration research
• Own alignment safety and guardrail strategy
• Select model architectures and model adaptation approaches
• Set research rigor standards across the organization

Perks/Benefits

• N/A

Skills/Tech-stack

Agent systems | Alignment | Deep learning | GPU Computing | Guardrails | JAX | Knowledge Distillation | Machine Learning | Mixture of Experts | Model Evaluation | Multi-Agent | Multi-Agent Systems | Multimodal Learning | PyTorch | Python | Retrieval-Augmented Generation | Safety engineering