VP of Research, Machine Learning
RemoteUnited States
Job Summary
Set and evolve the research direction for A1's core intelligence, including context representation, memory, reasoning, planning, and orchestration. Decide when to design new model architectures versus adapting frontier open-source or commercial models. Define evaluation frameworks measuring real-world usefulness, robustness, safety, and long-term behavior, while owning 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 to help users complete daily tasks with reduced time. Set the technical bar for research rigor, judgment, and taste across the organization.
Required Qualifications
- 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
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