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4 дня назад

Member of Technical Staff (AI Research)

200 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
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
Member of Technical Staff (AI Research) (LLMs and multimodal systems): Conducting foundational research and developing model architectures, training methods, and optimization techniques with an accent on efficiency, accuracy, reliability, and scalability. Focus on transitioning research prototypes into production-grade AI systems, analyzing performance bottlenecks, and advancing large-scale model training and inference.

Location: San Mateo or New York, United States

Salary: $200,000–$300,000 per year

Company

hirify.global provides a platform for building, training, and serving specialized AI models across text, image, embedding, audio, and multimodal workloads.

What you will do

  • Conduct foundational research advancing the capabilities, efficiency, and reliability of LLMs and multimodal systems.
  • Design, implement, and evaluate model architectures, training methods, and optimization techniques.
  • Collaborate with engineering teams to transition research prototypes into production-grade systems.
  • Analyze empirical results, identify performance bottlenecks, and improve model quality.
  • Contribute ideas and research directions from doctoral work to the internal research agenda.

Requirements

  • PhD completed within the last 6 months or expected by December 2026 in Computer Science, Machine Learning, Computational Physics, Mathematics, Electrical Engineering, or a related field.
  • Research background in AI, machine learning, physics, or a related area, demonstrated through a dissertation, publications, or research projects.
  • Experience solving analytical problems using analytical and quantitative approaches.
  • Ability to communicate research to audiences with different backgrounds.
  • Proficiency in Python, C/C++, or similar programming languages.
  • Hands-on experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.

Nice to have

  • First-author publications at leading peer-reviewed conferences or journals such as NeurIPS, ICML, ICLR, or MLSys.
  • Industry research internships or open-source contributions to ML systems, model training, or inference projects.
  • Experience with large-scale model training, distributed systems, GPU kernel development, or inference optimization.
  • Experience taking research code beyond the prototype stage.

Culture & Benefits

  • Work on AI infrastructure, low-latency inference, and scalable model serving.
  • Collaborate with experienced engineers and AI researchers on emerging technologies.
  • Receive mentorship from a senior researcher and work on a real research problem from the beginning.
  • See research models deployed in production for leading companies.

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