Chief AI Strategist
1 week ago
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:
- Accuracy is the cornerstone of our creations. We adhere to the highest standards of definitive truthfulness.
- We engineer solutions that foster and restore trust.
- We are not merely riding the AI trend; we are redefining it. We avoid sensationalism.
- 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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