VP of Research, Machine Learning

Tasks

• Decide model architecture build or adaptation
• Define context representation and memory
• Define evaluation frameworks for real world usefulness
• Design reasoning planning and orchestration
• Guide mixture of experts exploration
• Guide model distillation
• Guide multi agent orchestration
• Guide multimodal system research
• Guide retrieval augmented training
• Own alignment safety and guardrail strategy
• Partner with product and engineering teams on intelligence direction
• Set machine learning research direction
• Set technical bar for research rigor and judgment

Perks/Benefits

• Collaborative decision-making
• High ownership culture
• High-impact work
• Rapid execution

Skills/Tech-stack

Agent systems | GPU Inference | GPU Training | Guardrails | JAX | Knowledge Distillation | Machine Learning | Mixture of Experts | Model Evaluation | Multi-Agent | Multi-Agent Systems | Multi-step reasoning | Multimodal Learning | PyTorch | Python | Retrieval-Augmented Generation | Safety alignment