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4 дня назад

Senior Applied Scientist (AI Model Training, Supervised/RL & Optimization)

Формат работы
remote (только Israel)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Applied Scientist (AI Model Training, Supervised/RL & Optimization): Developing and optimizing sovereign AI models through post-training, reinforcement learning, distillation, predictive ML, and multimodal learning with an accent on data strategy, training dynamics, and deployment constraints. Focus on designing reliable large-scale experiments, solving convergence and stability challenges, and adapting models for audio and speech understanding.

Location: Remote, Tel Aviv-Jaffa, Tel Aviv District, Israel

Company

Building sovereign AI and national cyber-defense systems for governments, including secure critical-system infrastructure, national-scale information integration, and sensitive-data decision support.

What you will do

  • Develop training and post-training methods using reinforcement learning, distillation, and automated optimization to improve model capability and efficiency.
  • Design data mixtures, sampling strategies, and curricula, and investigate how data quality and composition affect performance.
  • Run and debug large-scale training experiments, addressing convergence, stability, and compute efficiency.
  • Adapt model architectures and learning methods to new tasks and modalities, including audio and speech understanding.
  • Own projects from problem definition through experimentation and validation, using benchmarks, ablations, and reproducible results, and partner with engineering through deployment.
  • Identify risks early, challenge ideas constructively, solve complex problems, and mentor fellow researchers.

Requirements

  • 8+ years of hands-on AI/ML experience, owning multiple projects from problem definition to real-world impact; industry and military R&D backgrounds are valued.
  • Deep expertise in model training, with hands-on experience in one or more of post-training, reinforcement learning, distillation, or predictive ML.
  • An MSc or PhD in a relevant field, or equivalent demonstrated research accomplishments.
  • Strong implementation skills in Python and PyTorch or JAX, including building and debugging large-scale training and evaluation pipelines.
  • Deep understanding of model architectures and training dynamics, with the ability to diagnose failures and balance quality, stability, and efficiency.
  • Experience with data mixing, curriculum design, experiment logging, and ablation studies.
  • Independent ownership, empirical discipline, and clear judgment through complex training cycles and deployment constraints.

Nice to have

  • Research experience in audio or speech.

Culture & Benefits

  • Remote workplace based in Tel Aviv-Jaffa, Tel Aviv District.
  • Work alongside AI researchers, cyber operators, and government experts on sovereign AI.
  • High autonomy in solving problems involving scarce data, noisy labels, security constraints, compute limitations, and deployment challenges.
  • Opportunity to work on AI systems deployed for national-scale and critical applications.

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