Director-Level AI Scientist – Foundation Models & Generative AI Principal AI Scientist

What You'll Do: Design and train large-scale transformer and foundation models from the ground up. Own key architectural decisions across language, multimodal, and emerging model architectures. Lead research into optimization, scaling laws, training stability, and model efficiency. Solve training divergence and convergence challenges across large-scale GPU clusters. Develop approaches to improve inference performance and compute efficiency. Partner with ML systems engineers while owning model architecture and research direction. Influence the long-term technical roadmap for next-generation generative AI systems.

What You'll Bring: Proven experience pre-training large-scale LLMs or foundation models from scratch. Deep expertise in transformers, modern deep learning, optimization, and representation learning. Strong knowledge of attention architectures, RoPE, GQA, MoE, and related techniques. Experience with FSDP, ZeRO, tensor parallelism, pipeline parallelism, and distributed GPU training. Hands-on experience with BF16/FP8, gradient checkpointing, and large-scale training infrastructure. Strong understanding of scaling laws, compute/data tradeoffs, and training stability. Experience with RLHF, DPO, GRPO, or other modern alignment techniques is highly desirable. Track record of driving high-level technical or research direction. You'll Solve Problems Like Preventing training divergence at extreme model scale. Improving model convergence and generalization. Scaling training efficiently across large GPU clusters. Building multimodal and hybrid foundation-model architectures. Advancing production-grade generative AI capabilities.

Base Salary: $300,000 Annual STIP: $60,000 Sign-On Bonus: $50,000–$100,000 Equity opportunity Comprehensive medical, dental, and vision coverage Life and disability insurance Generous PTO and paid holidays Retirement benefits Remote work flexibility If you've built foundation models from scratch and want to take a senior role shaping next-generation AI systems deployed at global scale, we'd love to hear from you.