Назад
Company hidden
обновлено 2 месяца назад

Senior Research Scientist (AI)

128 250 - 266 875$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Research Scientist (AI): Developing and advancing state-of-the-art machine learning models for personalization, recommendation, and NLP within the hirify.global Mail intelligence platform with an accent on large-scale data processing and deep learning architectures. Focus on transforming theoretical research into practical production applications to enhance user engagement across petabytes of mail data.

Location: Remote/Hybrid US-based

Salary: $128,250 - $266,875/yr

Company

hirify.global is a global consumer technology company providing leading internet services and digital experiences to hundreds of millions of users worldwide.

What you will do

  • Conduct research to advance algorithms for personalization, user modeling, ranking, and information retrieval.
  • Design, train, and deploy transformer-based and generative machine learning models for production environments.
  • Optimize and fine-tune models to improve recommendation performance and classification accuracy.
  • Develop scalable workflows for processing and analyzing petabyte-scale datasets.
  • Collaborate with cross-functional product and engineering teams to drive business impact.
  • Contribute to thought leadership through publications, patents, and technical presentations.

Requirements

  • PhD or Master’s degree in Computer Science, Statistics, or related quantitative field.
  • 5+ years of experience in machine learning, deep learning, or NLP.
  • Hands-on expertise with Python and deep learning frameworks like TensorFlow or PyTorch.
  • Proven ability to bridge the gap between theoretical research and practical, large-scale applications.
  • Strong understanding of model training and evaluation metrics.
  • Excellent communication and collaboration skills for working in a fast-paced environment.

Nice to have

  • Knowledge of Reinforcement Learning.
  • Experience with large language models (LLMs), fine-tuning, or prompt engineering.
  • Familiarity with cloud platforms such as GCP or AWS.
  • Contributions to the research community via publications or competitions.

Culture & Benefits

  • Flexible hybrid work options with minimal office attendance requirements.
  • Comprehensive health insurance and wellness benefits.
  • Strong 401k retirement plan.
  • Education stipends and continuous learning support.
  • Inclusive environment with active employee resource groups.
  • Work-life balance focus with backup childcare resources.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →