Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль дает большую самостоятельность в передовых исследованиях и внедрении моделей, но работа для государства и критической инфраструктуры может означать строгие требования безопасности и ограничения в работе.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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