Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Стажировка предлагает практическую работу над continual learning для LLM при сильной исследовательской команде и заметном финансировании; главный компромисс - неопределённость и возможная высокая нагрузка стартапа.
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Передовой ИИ-стек
Сильная поддержка
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Member of Technical Staff - Research Intern (AI): Designing and building a post-training stack for continual learning from production workflows with an accent on LLM and agent training, evaluation, and learnable telemetry. Focus on building RL environments and evaluation suites, designing experiments, and developing algorithms for continually learning intelligence.
Location: San Francisco, United States; onsite
Company
hirify.global is a research and product lab creating a platform for continual learning in large-scale agentic models.
What you will do
Design and build the post-training stack that enables models to continually learn from real production workflows.
Lead end-to-end experiments across data, training, and evaluation.
Transform product telemetry into learnable signals.
Train and serve custom large language models and agents.
Design novel algorithms and make foundational technical and product decisions with founders and design partners.
Help define the architecture and culture of the company.
Requirements
Experience training or serving large language models.
Experience building RL environments or evaluation suites for LLMs.
Proficiency in PyTorch, JAX, or similar ML frameworks.
Strong experimental design skills.
Master’s degree or research experience.
Nice to have
Background in pre-training or post-training RL for LLMs.
Experience with high-performance computing or large-scale clusters.
Contributions to open-source ML research or infrastructure.
Technical creativity demonstrated through research, open-source work, or side projects.
PhD, including being in the last year of a PhD, working on AI or RL open-source projects.
Culture & Benefits
Work directly with the founders and design partners.
Collaborate with leading AI companies, including Decagon, Clay, Harvey, Mercor, and Rogo.
Join a company founded by researchers from DeepMind, OpenAI, Meta, Apple, Amazon, and Scale.
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