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Текст:
Hirify AI/Оригинал
TL;DR
Principal Research Engineer (AI): Leading the model-improvement loop from data and training through evals and post-training with an accent on RLHF, DPO, and large-scale distributed GPU training. Focus on optimizing transformer architectures, building evaluation systems, and scaling training on 1,000+ GPU clusters.
Location: Palo Alto, California, United States
Salary: $400,000 – $550,000
Company
Inflection AI is a Public Benefit Corporation creating emotionally intelligent AI, including the personal AI agent Pi.
What you will do
Own the model-improvement roadmap across capability, reliability, emotional intelligence, and enterprise readiness.
Lead training and post-training strategies, including SFT, RLHF, DPO, GRPO, RLAIF, and reward modeling.
Drive model architecture and optimization for transformer-based and hybrid architectures.
Manage large-scale training efforts on distributed GPU clusters with 1,000+ GPUs.
Execute data strategy covering curation, mixture design, synthetic data, and production feedback loops.
Build evaluation and release-quality systems, including quality gates and regression detection.
Requirements
Experience leading large-scale LLM, multimodal, or foundation-model training programs.
Deep expertise with transformer-based models, hybrid architectures, and distributed training systems.
Strong practical experience with alignment methods such as SFT, RLHF, DPO, and preference optimization.
Experience operating GPU clusters at the scale of 1,000+ GPUs.
PhD in Computer Science, ML, AI, or equivalent practical experience.
Must be based in or be able to work in the Bay Area (Palo Alto, CA).
Culture & Benefits
Comprehensive medical, dental, and vision insurance options.
401k matching program.
Unlimited paid time off.
Parental leave and flexibility for all parents and caregivers.
Support for country-specific visa needs for international employees living in the Bay Area.
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