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6 дней назад

AI Research Scientist

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Ukraine
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
AI Research Scientist (LLM Optimization): Developing fundamental research for efficient on-device large language models and localized machine learning solutions for the macOS ecosystem with an accent on architectural exploration, model optimization, and research-to-production transitions. Focus on designing experiments, implementing algorithms from academic papers, collaborating on scientific publications, and improving techniques such as quantization, KV-cache compression, speculative decoding, and distillation.

Location: Boston office with a hybrid schedule requiring three days per week on-site. For candidates from Ukraine, a remote-first format is available with the Kyiv HQ operating in a co-working mode.

Company

hirify.global develops consumer software and cybersecurity products, including CleanMyMac, Setapp, ClearVPN, and Moonlock.

What you will do

  • Prepare fundamental research proposals focused on LLM efficiency and optimization.
  • Survey academic publications, formulate hypotheses, and run deep-dive experiments on new LLM optimization methods.
  • Collaborate with internal research scientists and external academic labs on joint projects and publications.
  • Transition validated research prototypes into downstream production environments with the applied research stream.
  • Drive a research niche from ideation through implementation with significant independence and autonomy.
  • Contribute to internal knowledge sharing, paper clubs, and publications at international AI conferences.

Requirements

  • Deep experience in natural language processing or a related machine learning domain.
  • Strong theoretical and practical understanding of LLM optimization techniques, including quantization, KV-cache compression, speculative decoding, and distillation.
  • Hands-on experience with parameter-efficient fine-tuning, including LoRA and other adapters, as well as mixture-of-experts architectures.
  • Ability to implement complex algorithms and architectures directly from academic papers.
  • Advanced Python programming skills and experience with PyTorch, JAX, or TensorFlow.
  • Strong foundations in linear algebra, probability theory, and mathematical statistics.

Nice to have

  • Research publications at international AI, machine learning, software engineering, or HCI conferences.
  • Performance engineering experience, including profiling and low-level GPU, Metal, or C++ optimization.
  • Experience training, running, or deploying localized LLMs on device frameworks such as MLX.

Culture & Benefits

  • Hybrid work with flexible working hours and a remote-first option for candidates from Ukraine.
  • Medical, vision, and dental insurance for employees and their families.
  • Education opportunities, annual development reviews, and internal communities.
  • Generous paid time off and a culture based on trust, autonomy, transparency, and constructive feedback.
  • Equal opportunity workplace supporting applicants from diverse backgrounds.

Hiring process

  • Hiring steps may vary depending on the position.
  • The usual process includes several position-specific stages.

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