2 часа назад
Senior ML Infrastructure Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior ML Infrastructure Engineer (AI): Building and optimizing high-performance inference and training infrastructure for general world models with an accent on distributed systems and GPU efficiency. Focus on scaling model performance for hundreds of thousands of users and minimizing compute costs.
Location: Palo Alto, London, or Zurich
Company
is an AI lab pioneering general world models designed to predict and interact with the world, with applications spanning robotics, science, and beyond.
What you will do
- Optimize models for real-time use by hundreds of thousands of users.
- Design and implement distributed training strategies to improve resource efficiency on large GPU clusters.
- Collaborate with ML researchers to ensure model architectures are performant from the design phase.
- Develop tools to identify performance bottlenecks and stability issues in training and serving environments.
- Pioneer innovative system designs to enhance performance metrics across infrastructure.
Requirements
- 8+ years of software engineering experience with a focus on ML performance.
- Deep insight into modern machine learning architectures and distributed training/inference.
- Proficiency with PyTorch, TF, or JAX.
- Experience with Triton and NVIDIA GPU ecosystems and optimization stacks.
- Track record of owning projects end-to-end.
- Highly metric-based problem-solving mindset.
Culture & Benefits
- Work with an elite research team from organizations like DeepMind, Tesla, and Waymo.
- Significant autonomy in technical decision-making.
- Access to latest-generation GPU hardware.
- Opportunity to work on foundational technology with broad industry impact.
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