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Recruits Lab · Washington DC-Baltimore Area

Senior Principal AI Scientist

Hybriddirectorfull time$280,000 / yearPosted yesterday
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llmtransformersgenerative-aideep-learningreinforcement-learning

Senior Principal AI Scientist – Foundation Models & Generative AI

Remote (U.S.) | Full-Time

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.

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.

Compensation & Benefits

- Salary: $280,000

- 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.

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