VP, ML Research & AI Systems — Remote + Equity

Darwin Recruitment; San Francisco (CA); À distance; USD 250 000 - 420 000; Plein temps

Avantages offerts par ce poste

Cash plus equity

Health, dental and life insurance

401(k) match

Résumé du poste

Darwin Recruitment is seeking a VP of Research, Machine Learning to own the intelligence behind a new AI product used by millions. You will steer core capabilities, memory, reasoning, planning and orchestration with a founder mindset.

Lead evaluation, safety and guardrail strategy, and decide between new architectures or adapting frontier models. Remote UK/US-friendly role with strong backing and equity options.

Qualifications

• Deep experience building or evolving ML systems used in production.
• Strong judgment on model behaviour, failure modes and long term trade offs.

Responsabilités

• Set the research direction for core intelligence: context, memory, reasoning, planning and orchestration.
• Decide when to build new model architectures versus adapting frontier open source or commercial models.
• Define evaluation frameworks that measure real world usefulness, robustness and safety, not benchmark vanity.
• Own alignment, safety and guardrail strategy as core product priorities.
• Guide work on frontier techniques including retrieval augmented training, mixture of experts, distillation, multi agent orchestration and multimodal systems.
• Partner closely with product and application engineering, and set the bar for research rigor across the company.

Connaissances

ML systems

Model behavior

Evaluation & correctness

Decision making

Founder mindset

Python

PyTorch/JAX

GPU training

Outils

Python

PyTorch

JAX

CUDA/GPU

Description du poste

Darwin Recruitment is seeking a VP of Research, Machine Learning to own the intelligence behind a new AI product used by millions. You will steer core capabilities, memory, reasoning, planning and orchestration with a founder mindset.

Lead evaluation, safety and guardrail strategy, and decide between new architectures or adapting frontier models. Remote UK/US-friendly role with strong backing and equity options.