Назад
2 месяца назад

Software Engineer (ML/LLM)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer (ML/LLM): Developing and refining machine learning models, LLM-based agents, and intelligent automation solutions for Snowflake’s global support and sales organizations with an accent on model quality, scalable evaluations, embeddings, clustering, and production services. Focus on designing experiments and metrics, fine-tuning state-of-the-art LLMs, instrumenting systems, and delivering cross-stack features in Java, Python, Snowflake, and Kubernetes.

Location: Warsaw, Poland; hybrid

Company

Snowflake provides a cloud data platform and builds technologies that scale global support and sales organizations.

What you will do

  • Develop and refine machine learning models supporting Snowflake’s business.
  • Develop, fine-tune, and deploy LLM-based solutions and agent architectures.
  • Design metrics and experiments to validate model and product insights.
  • Implement services and projects across Java and Python, hosted in Snowflake and Kubernetes.
  • Build intelligent workflows, scalable evaluations, and incident-discovery capabilities using embeddings, clustering, summarization, and agents.
  • Collaborate with product management, design, and partner teams while contributing to product vision and team planning.

Requirements

  • B.S. or M.S. degree in computer science or an equivalent discipline.
  • 3+ years of hands-on software engineering experience.
  • 1+ years of working machine learning experience.
  • Interest in state-of-the-art LLM-based solutions.
  • Strong verbal and written communication skills and an interest in working with diverse peers and external developers.
  • Enjoyment of building software and learning new technologies.

Culture & Benefits

  • AI-native, experimental approach to solving problems and improving how work gets done.
  • Low-ego environment focused on challenging conventional thinking and accelerating innovation.
  • Collaboration with a diverse, cross-functional, and global support organization.

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