VP of Research (Machine Learning)

Tasks

• Decide proprietary versus open source and commercial model use
• Define AI research roadmap
• Design context representation memory reasoning planning and orchestration
• Develop AI alignment safety and guardrail strategy
• Drive machine learning research and experimentation
• Ensure research quality and engineering excellence
• Lead AI evaluation framework design
• Lead mixture of experts development
• Lead model distillation development
• Lead multi agent orchestration development
• Lead multimodal AI systems development
• Lead retrieval augmented training development
• Partner with product and engineering on intelligence strategy
• Translate research into production ready AI solutions

Perks/Benefits

• N/A

Skills/Tech-stack

AI Safety | AI alignment | Agent systems | Failure analysis | GPU | Guardrails | JAX | Learning systems | Machine Learning | Machine learning systems | Mixture of Experts | Model Distillation | Model Evaluation | Model Robustness | Multi-Agent | Multi-Agent Systems | Multimodal Machine Learning | PyTorch | Python | Retrieval-Augmented Generation | System Reliability