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About the Role
Own the research and intelligence direction of a system, defining how Artificial Intelligence (AI) reasons, evaluates, and improves in a frequently used product.
Responsibilities
- Set and evolve the research direction for 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.
- 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.
Requirements
- Deep experience building or evolving real Machine Learning (ML) systems used in production.
- Artificial Intelligence (AI) experience required.
- Strong technical judgment around model behavior, failure modes, and long-horizon trade-offs.
- A builder’s mindset, focused on systems that work in the real world.
- Comfortable making irreversible or high-impact decisions with incomplete information.
- Obsession with evaluation, correctness, and how systems behave over time.
- High ownership mentality; operate as a founder, not a manager.
Skills
- GPU-based training and inference system
- JAX
- Python
- PyTorch
Location
- San Francisco, CA
Work Type
- Work From Home
- Remote
Experience Level
- VP
Salary/Compensations
- USD 225000 - USD 275000
Benefits
- Medical insurance
- Dental
- Vision
- Savings Plan Options
- PTO