5 months ago
Responsibilities
- Define and own the architectural vision for next-generation AI systems, including novel agent architectures, reasoning systems, and proprietary model development.
- Prototype and evaluate predictive modeling, autonomous signal synthesis, multimodal intelligence, and other breakthrough AI capabilities.
- Establish data architecture, model serving, agent orchestration, and inference infrastructure for a long-term product roadmap.
- Evaluate emerging AI paradigms such as multi-agent reasoning, RLHF, and retrieval-augmented fine-tuning.
- Establish engineering standards, architecture review processes, and IP documentation practices.
Requirements
- BS, MS, or PhD in Computer Science, AI/ML, or a related field; PhD or equivalent research depth is preferred.
- At least 5 years of AI/ML engineering experience, including at least 2 years in a principal engineer or lead architect role.
- Demonstrated history of building original AI systems that became products rather than implementing existing patterns.
- Deep expertise in LLM training and fine-tuning, agentic system design, knowledge graph construction, and large-scale data modeling.
- Ability to operate in greenfield environments with high ambiguity and ownership.
- Patents, published research, or shipped products with clear proprietary differentiation are strong signals.
- Must be authorized to work in the United States without current or future employer sponsorship.
Benefits
- San Francisco, SoMa location with a minimum of four days per week in the office.
Categories
AI ResearchML Engineering
