Principal Research Scientist (AI Scaling)

TL;DR

Principal Research Scientist – Scaling (AI): Lead multidisciplinary team advancing large-scale LLM training and inference efficiency across algorithms, systems, and infrastructure with an accent on post-training, RL, optimization, and scaling. Focus on defining research roadmap, driving algorithmic innovations, optimizing end-to-end ML systems, and translating breakthroughs into production platform capabilities.

San Francisco, California

Salary: $280,000 — $350,000 USD

Company

hirify.global is the data and AI company powering over 10,000 organizations worldwide, including 50% of Fortune 500, with its Data Intelligence Platform.

What you will do

• Lead and grow research team focused on LLM scaling, efficiency, and systems performance.
• Define scaling research roadmap aligned with strategic objectives for foundation model efficiency and large-scale training/inference.
• Drive innovations in optimizers, low-precision techniques, model adaptation, with rigorous empirical validation.
• Optimize distributed training, RL, memory, and compute efficiency in collaboration with systems teams.
• Translate research into customer-impacting platform capabilities with product and engineering.
• Mentor talent and represent research externally via publications and collaborations.

Requirements

• Proven leadership of research team developing novel foundation model efficiency techniques with industry impact.
• Deep expertise in generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, emphasizing scaling.
• Hands-on programming in Python and PyTorch for high-quality research implementation.
• Ability to translate research into scalable product capabilities cross-functionally.
• Excellent communication, leadership, and stakeholder management skills.

Nice to have

• Experience at systems-ML intersection like distributed training frameworks or kernel optimization.
• Strong network in large-scale ML with conference service or collaborations.
• Record of impact via top publications (ICLR, ICML, NeurIPS, MLSys), open-source, or deployed systems.

Culture & Benefits

• Comprehensive benefits tailored to region, including performance bonus, equity, health insurance, and perks.
• Commitment to diversity, inclusion, and equal employment opportunity.
• Foster scientific excellence, reproducible experimentation, and knowledge sharing.