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9 часов назад

Machine Learning Researcher (AI)

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

Текст:
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TL;DR
Machine Learning Researcher (AI): Designing, implementing, and evaluating machine learning models for enterprise decision-making with an accent on foundation models, novel architectures, training methods, and model evaluation. Focus on scaling models and training regimes, distributed GPU or TPU training, efficient inference, and building research code for rapid experimentation.

Location: Remote in Europe or Israel

Company

hirify.global is an AI research lab developing NEXUS, a Large Tabular Model for enterprise decision-making and predictive analytics.

What you will do

  • Ideate, design, implement, and evaluate machine learning models for real-world deployment.
  • Contribute across the full lifecycle of AI model development, from research and experimentation through training and inference.
  • Develop novel architectures, training methods, evaluation protocols, and machine learning algorithms.
  • Scale models and training regimes using GPUs or TPUs and distributed training.
  • Build and maintain research code that enables rapid development and testing of new ideas.
  • Collaborate with machine learning researchers on model performance and engineering quality.

Requirements

  • Strong familiarity with the full machine learning research cycle.
  • Strong software engineering hirify.globals.
  • Strong knowledge of Python and its machine learning frameworks.
  • Experience with AI model development, machine learning infrastructure, GPUs or TPUs, distributed training, and scaling models.
  • Knowledge of classical machine learning methods, algorithms, and deep learning techniques.
  • BSc, MSc, or PhD in computer science or machine learning is expected.

Nice to have

  • Expertise in architecture research, distillation, evaluation, code generation, or large language models.
  • Experience with foundational models, published AI conference research, or open-source machine learning projects.
  • Experience with tabular data or predictive analytics.
  • High Kaggle rank.

Culture & Benefits

  • Competitive compensation with salary and equity.
  • Comprehensive health coverage for employees and dependents.
  • Paid parental leave for all new parents, including adoptive and surrogate journeys.
  • Relocation support for employees moving to an office location.
  • Mission-driven, low-ego culture focused on diversity of thought, ownership, and action.

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