Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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В хорошо финансируемом AI-стартапе можно отвечать за полный цикл обучения и оценки LLM для продукта в сфере ментального здоровья, но формат небольшой стартап-команды и работа в офисе в Лондоне подойдут не всем.
?Темп стартапа
Современный ML-стек
AI для ментального здоровья
Крупное финансирование
Поддержка обучения
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Member of Technical Staff (Machine Learning) (AI/mental health): Building and shipping models, training infrastructure, harnesses, and evaluation systems for a specialized mental-health model with an accent on post-training, feedback loops, and production learning. Focus on designing end-to-end ML systems, improving model quality through fine-tuning and evals, and operating infrastructure on leased GPUs.
Location: London, United Kingdom; the role involves working in person with a small team and travel between the London and New York offices.
Company
hirify.global develops Ash, an AI product designed for mental health, with a mission to make support more accessible.
What you will do
Ship machine-learning models, training infrastructure, harnesses, and evaluation systems end to end.
Design, build, and launch technology that differentiates Ash as a specialized mental-health model.
Improve a model-agnostic post-training engine running on a leased-GPU cluster managed by SkyPilot.
Develop auto-research loops, mental-health-focused evaluation indexes, and feedback loops based on production performance, psych research, and scalable data sources.
Own systems and deliver high-quality products that create value for users.
Requirements
3+ years of engineering experience owning systems that other people rely on.
Experience working with LLMs, ideally including fine-tuning, harness engineering, and evals.
Proficiency in using agents to support research and implementation.
Ability to take ownership, work collaboratively and directly, and maintain a high standard of quality.
Experience in a fast-paced startup, or the drive to thrive in one.
Willingness to work in person with a small team and learn unfamiliar tools as required.
Nice to have
Specific expertise across the listed application, backend, infrastructure, cloud, or media-streaming technologies is not required; a learning mindset is valued.
Culture & Benefits
Autonomy, flexibility, and support within a small, highly skilled team.
Competitive compensation at the top of the personal market and meaningful equity.
Travel between the London and New York offices.
Free lunch and coffee in the office, plus a generous learning budget.
Personal therapy covered.
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