aipythonllmmachine learningstartupreinforcement learningai agentsmodel evaluationmulti gpu training
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$250к-400к/год
$230к$260кмедиана$300к
По похожим ролям (49) ~ $260к/год
На СНГ рынке: $4.6к/мес ($3.7к - $7.9к)
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Здесь можно заниматься значимыми AI-исследованиями, сочетая эксперименты и инженерную работу, но ранняя стадия компании и индивидуальное согласование удалёнки оставляют вопросы о стабильности и формате работы.
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Передовой AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Member of Technical Staff - AI Research (AI): Developing reinforcement learning, AI agents, and model reasoning approaches for scientific and engineering problems with an accent on large-scale multi-GPU training, evaluation frameworks, and reproducible research. Focus on designing complex experiments, building autonomous agent systems, and collaborating with physicists and engineers on scientific reasoning.
Location: Cambridge, MA, United States; hybrid with 3 days onsite, with remote work considered case by case
Salary: $250,000–$400,000; up to $230,000 base salary plus equity is also stated.
Company
Early-stage AI research company building models and autonomous agents for complex scientific and engineering problems.
What you will do
Develop new approaches to reinforcement learning, AI agents, and model reasoning.
Design and run large-scale training experiments across multiple GPUs.
Build robust evaluation frameworks, benchmarks, and research tools.
Collaborate with physicists and engineers on scientific reasoning and problem-solving.
Contribute to publishable research and open-source projects.
Requirements
Strong research background with publications at leading AI/ML conferences.
Hands-on experience in reinforcement learning, LLM training, agent systems, or model evaluation.
Experience building and running multi-GPU training experiments.
Ability to independently design experiments, evaluate results, and deliver research outcomes.
Culture & Benefits
Work on fundamental AI research with direct applications to scientific discovery.
Collaborate with specialists in machine learning, physics, and engineering.
Hybrid arrangement with three onsite days; remote work may be considered case by case.
Opportunity to contribute to publishable research and open-source projects.
Hiring process
Apply directly or contact the recruiter for a confidential discussion.
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