Junior AI Research Engineer: Frontier ML & Production

Domyn S.p.A.

Italia

Hybrid

EUR 30.000 - 50.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Learning budget
Flexible work policy
Wellbeing resources
Equity opportunity

Zusammenfassung

Domyn is seeking a Junior AI Research Engineer in Milan to bridge research and production for trillion-parameter model scales. You will design and optimize the infrastructure that trains and serves cutting-edge models, collaborating with leading industry labs and deploying solutions in mission-critical environments.

The role emphasizes Python, C++/Rust, and modern ML frameworks, with a focus on latency, throughput, and memory efficiency across a scalable stack. Flexible work options are offered.

Qualifikationen

  • Master's degree in CS/AI or related field.
  • Up to 2 years of proven experience as an AI research engineer or in similar roles.
  • Hands-on experience with at least one modern ML framework (PyTorch, TensorFlow, or JAX).
  • Familiarity with distributed training concepts.
  • Basic understanding of parallel computing; exposure to CUDA programming is a plus.
  • Hands-on experience with ML debugging tools such as TensorBoard and Weights & Biases; exposure to performance profiling tools (NVIDIA Nsight) is a plus.
  • Proficiency in Python and familiarity with C++ or Rust.
  • Solid understanding of mathematics behind deep learning (linear algebra, probability, optimization).
  • Exposure to deploying models in production, including optimizing for latency, throughput, and memory efficiency.

Kenntnisse

Python
C++
Rust
Machine Learning
Distributed Training
Math for DL
English Proficiency
Model Deployment

Ausbildung

Master's Degree in Computer Science or related field

Tools

PyTorch
TensorFlow
JAX
CUDA
TensorBoard
Weights & Biases
NVIDIA Nsight

Jobbeschreibung

Domyn is seeking a Junior AI Research Engineer in Milan to bridge research and production for trillion-parameter model scales. You will design and optimize the infrastructure that trains and serves cutting-edge models, collaborating with leading industry labs and deploying solutions in mission-critical environments.

The role emphasizes Python, C++/Rust, and modern ML frameworks, with a focus on latency, throughput, and memory efficiency across a scalable stack. Flexible work options are offered.

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