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14 часов назад

Research Engineer (AI)

295 000 - 445 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Research Engineer (AI): Designing and building state-of-the-art speech models and transforming research breakthroughs into tangible hirify.global speech products with an accent on speech-to-speech, ASR, and TTS technologies. Focus on optimizing models for performance, scaling data pipelines, and implementing advanced training techniques like distillation and policy optimization.

Location: San Francisco (Onsite)

Salary: $295,000 – $445,000 + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Design and build advanced machine learning models to solve real-world problems.
  • Bring research from concept to production-ready implementation.
  • Collaborate with software engineers and product managers to deliver AI-powered solutions.
  • Implement scalable data pipelines and optimize model performance and accuracy.
  • Monitor and maintain deployed models to ensure ongoing value delivery.
  • Engage in code reviews and lead by example to maintain high engineering standards.

Requirements

  • Master's or PhD degree in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional engineering experience in tech and product-driven companies.
  • Demonstrated experience in deep learning and transformer models.
  • Proficiency in PyTorch or TensorFlow.
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Familiarity with LLM training and fine-tuning methods like distillation and policy optimization.

Nice to have

  • Experience with speech models.

Culture & Benefits

  • Opportunity to work with world-class AI researchers and engineers.
  • Direct impact on products influencing individuals, businesses, and society.
  • Commitment to safety and human-centric AI development.
  • Inclusive work environment valuing diverse perspectives and experiences.
  • Competitive compensation package including equity.

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