6 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
About Hop
Hop is a privately held staffing marketplace that connects AI, GenAI, and machine-learning talent from Latin America with companies worldwide. It sources, screens, and places data scientists and AI engineers using an in-house assessment platform, and complements recruiting with mentorship and training programs. Founded in 2016 and headquartered in Walnut Creek, California, Hop operates on recruiting and staffing fees for organizations building data and AI products.