Fundamental
Fundamental
Fundamental este o companie de inteligență artificială pentru întreprinderi și software ca serviciu, care dezvoltă modele mari pentru date tabelare (LTM), inclusiv NEXUS, pentru identificarea tiparelor și anticiparea rezultatelor în date structurate. Platforma sa de analiză predictivă ajută organizațiile mari să valorifice informațiile din bazele de date cu un nivel minim de programare sau să conecteze modelele mai profund la medii cloud precum AWS. Bazându-se pe cercetare academică, Fundamental se concentrează pe confidențialitate, securitate și implementarea scalabilă a aplicațiilor de date pentru întreprinderi.

Machine Learning Researcher — Remote in Israel

Join Fundamental’s enterprise AI research lab to develop and evaluate foundation models. Improve model architectures, training, evaluation, and inference throughout the machine learning lifecycle.

Descriere

  • Help conceive, design, implement, and evaluate machine learning models for real-world deployment
  • Contribute throughout the full model development lifecycle
  • Advance model performance through new architectures and training techniques
  • Define and maintain rigorous evaluation protocols
  • Develop approaches for efficient model training and inference
  • Build research software that enables rapid experimentation and validation

Cerințe

  • Strong understanding of the complete machine learning research process
  • Solid software engineering fundamentals
  • Advanced Python skills and experience with machine learning frameworks
  • Hands-on experience across the AI model development lifecycle
  • Experience using machine learning infrastructure frameworks and tools
  • Demonstrated ability to develop new machine learning methods, algorithms, and models
  • Experience with GPUs or TPUs and distributed training systems
  • Experience scaling models and training configurations
  • Knowledge of classical machine learning methods and algorithms
  • Strong knowledge of deep learning techniques
  • Specialization in architecture research, distillation, evaluation, code generation, LLMs, or another relevant listed area is a significant advantage
  • Experience with foundation models such as LLMs is desirable
  • Published research in AI conferences is desirable
  • Open-source contributions to machine learning projects are desirable
  • Experience with tabular data or predictive analytics is desirable
  • A strong Kaggle ranking is desirable

Beneficii

  • Salary and equity package with competitive compensation
  • Comprehensive health insurance for employees and dependents
  • Paid parental leave for all new parents, including adoptive and surrogate parents
  • Relocation assistance for employees moving to one of the company’s office locations
  • Mission-focused, low-ego culture that values diverse perspectives, ownership, and decisive action

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