What are the responsibilities and job description for the Head of Machine Learning position at Kadence?
VP ML
Head of ML
Company OverviewOur client is an innovative AI platform who allow for the development of trustworthy AI applications, they have developed proprietary tech & are founded by leading executives from Apple & Google. Their mission is to revolutionize the accuracy and reliability of information by leveraging advanced AI technologies. They aim to create a cutting-edge fact-checking data platform to allow the development of accurate & trustworthy AI Applications.
Position: Vice President of AI & ML
Location: Hybrid San Francisco
Key Responsibilities
Head of ML
Company OverviewOur client is an innovative AI platform who allow for the development of trustworthy AI applications, they have developed proprietary tech & are founded by leading executives from Apple & Google. Their mission is to revolutionize the accuracy and reliability of information by leveraging advanced AI technologies. They aim to create a cutting-edge fact-checking data platform to allow the development of accurate & trustworthy AI Applications.
Position: Vice President of AI & ML
Location: Hybrid San Francisco
Key Responsibilities
- AI Strategy Development: Lead the design and implementation of the companies AI strategy to enhance data verification process
- Team Leadership: Build and manage a high-performing AI research and development team
- Technical Innovation: Drive the development of proprietary AI algorithms and models tailored for real-time fact-checking
- Collaboration: Work closely with other departments (Product, Engineering, Marketing) to integrate AI capabilities into the companies core offering
- Thought Leadership: Represent the companies at industry conferences, workshops, and in media to promote our AI advancements
- Educational Background: Advanced degree (Ph.D. preferred) in Computer Science, AI, Machine Learning, or related fields
- Experience: 8 years of experience in AI/ML. The individually would preferably come from a broad NLP background solving problems around Search, Information Retrieval, Reasoning and hallucinations
- Technical Skills: Must be proficient in building architectures and rolling up your sleeves to code. Proficiency in AI/ML frameworks (TensorFlow, PyTorch), data analysis, and large-scale algorithm deployment
- Experience transitioning AI products from research to production
- Industry Knowledge: Deep understanding of NLP/LLM applications in fact-checking, data integrity, and information verification. Background in regulated industry would be ideal (financial services, healthcare)
- Strong foundation in modern ML techniques, especially LLMs and NLP
- Soft Skills: Excellent communication, strategic thinking, and leadership abilities
- Research experience or publications in ML/AI