Head of AI & Machine Learning
On-siteSan Francisco, California, United States
Job Summary
Lead the development and scaling of a multi-agent AI platform to deliver sophisticated, end-to-end solutions using generative AI and multi-agent architectures. Enhance integration with foundation models while building custom AI capabilities tailored to specific needs, including domain-specific reasoning and decision-making. Design agent workflows, orchestration layers, and adaptive interfaces that evolve based on user behavior, ensuring transparency and regulatory compliance. Engineer systems to extract insights from diverse data sources and implement intelligence loops for continuous knowledge accumulation. This role requires a PhD in Computer Science or related field with 5+ years of experience in AI/ML research and development. We offer a competitive salary and comprehensive benefits. Located in [Location], this position is open to candidates with sponsorship.
Required Qualifications
- PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
- 5+ years of experience in AI/ML research and development, preferably at leading AI labs or technology companies
- Expertise in large language models (LLMs), multi-agent systems, and AI orchestration
- Proven ability to design and implement agent-based systems for complex, real-world tasks
- Demonstrated success in building practical AI applications with transparency and explainability
- Proficiency in retrieval-augmented generation for knowledge-intensive applications
- Strong understanding of domain-specific data and decision-making processes
- Background in human-AI interaction design and explainable AI methodologies
- Experience building systems that learn from user feedback and improve over time
- Deep knowledge of privacy-preserving AI techniques for sensitive data
- Ability to translate business needs into robust AI architectures
- Expertise in balancing innovation with regulatory and compliance requirements
- Strong leadership and mentoring skills with experience guiding technical teams
- Excellent communication skills to collaborate with non-technical stakeholders
- Commitment to building accurate, reliable, and trustworthy AI systems
- Published research in AI/ML conferences or proven industry implementations
- Proficiency in Python and relevant ML frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face)
Desired Qualifications
- Experience applying AI in high-stakes domains, such as finance or regulated industries, is highly valued
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