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1 день назад

Applied Scientist (AI)

141 000 - 167 100CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
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

Applied Scientist (AI/NLP): Conducting R&D for autonomous voice agents and delivering features for transcribed voice and chat message data with an accent on developing multi-modal, real-time agentic systems and advancing hirify.globalGPT. Focus on experimenting with distributed training and optimization of LLMs, and building advanced LLM-based features.

Location: Based in Kitchener, ON, Canada

Salary: $141,000 - $167,100 CAD (Ontario, Canada)

Company

hirify.global is a leading AI-powered customer communications platform that transforms business communication with real-time, AI-driven insights.

What you will do

  • Develop, implement, and refine state-of-the-art Natural Language Processing and Machine Learning algorithms for hirify.global's products.
  • Conduct rigorous evaluations and monitoring of model performances and troubleshoot issues with understanding resultant business impacts.
  • Conduct experiments in the distributed training and optimization of LLMs.
  • Manage massive textual data sets.
  • Build advanced LLM-based features, including reasoning, multilingual and multimodal processing, and agents.
  • Collaborate with cross-functional teams to effectively deploy and scale models and algorithms in production.
  • Contribute to the development of hirify.globalGPT, ensuring high accuracy, cost-effectiveness, and optimal performance at scale.
  • Submit papers to top-tier academic conferences and journals and contribute to the broader scientific community.

Requirements

  • Master’s or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine Learning, or related fields.
  • 2+ years of NLP industry experience for Master’s degree holders or 1+ years for PhD degree holders.
  • Demonstrated experience with machine learning, Python, PyTorch, and other relevant tools and technologies.
  • A broad understanding of current LLM model architectures and techniques for tuning and optimizing LLMs.
  • Strong problem-solving and analytical abilities to handle complex technical and analytical problems.
  • Excellent communication and collaboration skills to effectively work in a multi-disciplinary team.
  • Familiarity with version control tools like Git for collaborative projects.

Culture & Benefits

  • Competitive benefits and perks.
  • Robust training program to help reach full potential.
  • Inclusive, vibrant office environment designed to cultivate collaboration and connection.
  • Recognized as a certified Great Place to Work.
  • Opportunity to apply even if experience doesn't satisfy every qualification, provided fundamental traits, drive, and ambition are present.

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