Applied AI Research Scientist – Advanced Learning Systems

Title: Applied AI Research Scientist – Advanced Learning Systems
Location: San Francisco, CA (Onsite Preferred, Hybrid Possible)
Type: Full-Time | Deep Tech | Stealth AI Venture

About the Opportunity:
Join a trailblazing AI research initiative backed by elite minds in technology and science. Our client is developing next-generation machine intelligence, pushing the boundaries of what’s possible with generative AI, reinforcement learning, and agent-based systems. This role offers the rare chance to contribute to foundational advancements in artificial intelligence that aim to drive the future of autonomy and cognition.

Key Responsibilities:

• Develop and test novel deep learning architectures, spanning NLP, computer vision, and autonomous decision-making.
• Lead pioneering research projects across reinforcement learning, transformer models, and agentic systems.
• Prototype scalable AI systems and guide their evolution from experimental to production-grade.
• Collaborate closely with engineering teams to deploy real-world applications of complex models.
• Share research findings internally and externally through papers, open-source contributions, or industry engagement.

Ideal Candidate Background:

• PhD in Computer Science, Machine Learning, Applied Mathematics, or related discipline (or equivalent practical research experience).
• Demonstrated expertise in at least one key area: transformer networks, multi-modal modeling, reinforcement learning, or large language model optimization.
• Proven record of peer-reviewed publications at top-tier venues such as NeurIPS, ICML, ICLR, ACL, or CVPR.
• Experience with ML frameworks and tools like PyTorch, JAX, Hugging Face libraries, or RLlib.
• Strong ability to translate research theory into robust, efficient code for production environments.

Preferred Qualifications:

• Familiarity with safety, interpretability, or alignment research in artificial intelligence.
• Previous exposure to AGI-level systems or autonomous agents in complex environments.
• Adaptability and drive to work in a fast-paced, early-stage innovation environment.

Compensation and Benefits:

• Competitive base salary of $180,000–$250,000
• Equity package and compute resources for experimentation
• Comprehensive health benefits and professional growth support

Why Apply:

• Shape the landscape of future AI technologies and agentic systems
• Collaborate with elite researchers dedicated to achieving real AGI outcomes
• Make your mark in a cutting-edge stealth initiative committed to transformative innovation