Fundamental
Fundamental
Fundamental — tuzilmali ma’lumotlardagi qonuniyatlarni aniqlash va natijalarni bashorat qilish uchun NEXUS kabi yirik jadval modellarini (LTM) ishlab chiquvchi korporativ sun’iy intellekt va SaaS kompaniyasi. Uning bashoratli tahlil platformasi yirik tashkilotlarga minimal kod yordamida ma’lumotlar bazasidagi tushunchalardan foydalanish yoki modellarni AWS kabi bulutli muhitlarga yanada chuqurroq ulash imkonini beradi. Akademik tadqiqotlar asosida tashkil etilgan Fundamental korporativ ma’lumotlar ilovalari uchun maxfiylik, xavfsizlik va keng ko‘lamda joriy etishga e’tibor qaratadi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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