Director-Level AI Scientist – Foundation Models & Generative AI Principal AI Scientist at Recruits Lab | Torre

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

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Full-time

Legal agreement: Employment

Compensation USD300k/year
Non-negotiable
location_on
Remote (for United States residents)
Posted 15 days ago

Responsibilities


Director-Level AI Scientist – Foundation Models & Generative AI Principal AI Scientist United States (Remote) 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. 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 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.
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