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

Director-Level AI Scientist – Foundation Models & Generative AI

Remote (U.S.) | Full-Time | $300,000 Base + $60,000 STIP + $50,000–$100,000 Sign-On

We're partnering with an industry-leading AI technology company building the next generation of foundation models powering intelligent, real-world systems at global scale.

This is a senior research opportunity for someone who has personally built and trained large language or foundation models from scratch at scale — not simply fine-tuned existing models.

Is this your next job Read the full description below to find out, and do not hesitate to make an application.

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. xhyhwjd
• Advancing production-grade generative AI capabilities.

Compensation & Benefits

• 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.