Chief AI Strategist

1 week ago


San Francisco, California, United States Infactory Full time
Position Overview

About Infactory

At Infactory, we are dedicated to advancing AI innovation through a foundation of facts and trust. Our factual platform supports AI solutions for enterprises that prioritize precision. Whether our clients are developing conversational agents, search functionalities, knowledge management systems, or cutting-edge Generative AI technologies, our offerings guarantee that responses are not only intelligent but also accurate and beneficial.

Core Values:

  1. Accuracy is the cornerstone of our creations. We adhere to the highest standards of definitive truthfulness.
  2. We engineer solutions that foster and restore trust.
  3. We are not merely riding the AI trend; we are redefining it. We avoid sensationalism.
  4. We produce exceptional products that are straightforward, reliable, and valuable.

Role Responsibilities

  • Spearhead the formulation and execution of Infactory's comprehensive AI strategy.
  • Assemble and lead a high-achieving AI engineering and research team.
  • Oversee the creation of proprietary algorithms designed to enhance accuracy and minimize inaccuracies.
  • Engage at the leading edge of Generative AI during a pivotal phase in the company’s journey.

Sample Initiatives:

  • Enhance our query intent classification system for semantic search, boosting relevance and accuracy.
  • Assess our naming taxonomy for effectiveness in conjunction with embeddings and vector databases.

Qualifications:

Note: These are guidelines, not strict requirements. If you believe you would be a suitable candidate, we encourage you to consider applying.

  • Educational Background: Advanced degree (Ph.D. preferred) in Computer Science, AI, Machine Learning, or related disciplines.
  • Experience: Approximately 10 years in AI/ML, ideally with a broad NLP background addressing challenges in Search, Information Retrieval, Reasoning, and inaccuracies.
  • Technical Skills: Proficient in developing architectures and willing to engage in hands-on coding. Expertise in AI/ML frameworks, data analysis, and large-scale algorithm deployment is essential.
  • Industry Knowledge: Profound understanding of NLP applications in fact-checking, data integrity, and information validation.
  • Ownership Mindset: Enthusiastic and driven to thrive in an early-stage startup environment.

Compensation and Benefits:

  • Flexible work arrangement with a preference for hybrid roles.
  • Competitive base salary up to $300k, complemented by equity in an early-stage venture.
  • Comprehensive benefits package.
  • Generous leave policy including 20 days PTO, paid holidays, and unlimited sick leave.

Compensation Range: $200K - $300K



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