Staff AI Scientist – Foundation Models
Location: San Francisco, CA
Company: Stealth AI Research Startup
Shape the next generation of artificial intelligence through customizable and capable foundation models that push beyond current limitations. Led by former OpenAI CTO and backed by $2B+ in funding at a $10B+ valuation, we’re building AI systems that offer unprecedented levels of customization and capability for enterprise and research applications. Our world-class team of former OpenAI researchers and engineers is tackling fundamental challenges in AI alignment, safety, and performance while developing models that can be precisely tailored to specific domains and use cases. As we emerge from stealth mode, we’re positioned to redefine what’s possible with foundation models through breakthrough research and engineering.
What You’ll Do:
- Lead research on next-generation foundation model architectures and training methods
- Develop novel approaches for model customization, fine-tuning, and adaptation
- Research advanced techniques for AI safety, alignment, and controllability
- Design evaluation frameworks for measuring model capabilities and limitations
- Collaborate with interdisciplinary teams on AI applications across domains
Requirements:
- PhD in Machine Learning, Computer Science, or related field
- 6+ years experience with foundation model research and development
- Track record of breakthrough research published at top AI conferences
- Deep expertise in transformer architectures, scaling laws, and training dynamics
- Experience with large-scale distributed training and model optimization
What We Offer:
- $300k-$500k+ total compensation with significant equity upside
- Work on frontier AI research with unlimited computational resources
- Join a world-class team of AI researchers and former OpenAI leadership
- Opportunity to define the future of customizable and safe AI systems
