VP of Research, Machine Learning

VP of Research, Machine Learning

You will own the research and intelligence direction of this system. Your role is to define how AI reasons, evaluates, and improves in a product used with high frequency.

• Set and evolve the research direction for our client’s core intelligence, including context representation, memory, reasoning, planning, and orchestration.
• Decide when to design new model architectures versus adapting or leveraging frontier open‑source or commercial models.
• Define evaluation frameworks that measure real‑world usefulness, robustness, safety, and long‑term behavior – not benchmark vanity.
• Own alignment, safety, and guardrail strategy as first‑class product concerns.
• Guide exploration of frontier techniques such as retrieval‑augmented training, mixture‑of‑experts, distillation, multi‑agent orchestration, and multimodal systems.
• Shape early product intelligence direction in close partnership with product and application engineering.
• Set the technical bar for research rigor, judgment, and taste across the organization.

• Deep experience building or evolving real machine learning systems used in production.
• Strong technical judgment around model behavior, failure modes, and long‑horizon trade‑offs.
• A builder’s mindset: you care about systems that work in the real world, not just ideas.
• Comfortable making irreversible or high‑impact decisions with incomplete information.
• Obsession with evaluation, correctness, and how systems behave over time.
• High ownership mentality — you operate as a founder, not a manager.
• Python, PyTorch / JAX GPU‑based training and inference system experience.

• Job Type: Direct Hire
• Pay Range:
  Market Rate
• Location:
  
  Fully Remote