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12 дней назад

Senior AI R&D Engineer in Model Training (f/m/d)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior AI R&D Engineer in Model Training (f/m/d) (AI/model training): Building and improving model training pipelines and infrastructure for foundation models with an accent on cluster scheduling, reinforcement learning code execution, evaluation throughput, and maintainable software design. Focus on designing robust tooling, incrementally refactoring research-heavy codebases, and improving testing, performance, and iteration speed.

Location: Hybrid in Heidelberg or Berlin, Germany; on-site at least two days per week. Berlin-based employees travel to Heidelberg for a few days approximately every two months.

Company

hirify.global develops general-purpose foundation models and model training infrastructure for customer needs.

What you will do

  • Build and improve model training pipelines and supporting infrastructure.
  • Optimize training workload scheduling on Kubernetes clusters for robustness, performance, and faster iteration.
  • Enable large-scale code execution for reinforcement learning.
  • Improve evaluation code and increase inference throughput.
  • Strengthen maintainability through testing, design improvements, architecture changes, and incremental refactoring.
  • Collaborate through pair and mob programming while making design decisions and setting priorities with the team.

Requirements

  • Senior-level software engineering experience and the ability to work effectively in research-heavy codebases.
  • Ability to change existing code behavior while leaving it better tested and easier to understand.
  • Understanding of low coupling, high cohesion, and incremental refactoring.
  • Experience with or ability to learn Python; occasional Rust codebases are also used.
  • Experience with Kubernetes-based infrastructure is useful for the model training pipeline.
  • Availability for hybrid work with at least two on-site days per week in Heidelberg or Berlin is required.

Nice to have

  • Test Driven Development.
  • Trunk-based development.
  • Continuous integration.
  • Domain Driven Design.

Culture & Benefits

  • Ownership, autonomy, empowerment, and a flat organizational structure.
  • Collaborative engineering practices including pair programming, mob programming, and trunk-based development.
  • 30 days of paid vacation.
  • Flexible working hours and a hybrid working model.
  • Wellhub fitness and wellness offerings, nilo.health mental health support, and a subsidized company pension plan.
  • Subsidized Germany-wide transportation ticket, technical equipment budget, and JobRad bike lease.

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