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13 дней назад

Staff AI Machine Learning Engineer (LLM)

110 000 - 145 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
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
Staff AI Machine Learning Engineer (LLM): Building safety-focused frameworks and reliable AI systems for large language models with an accent on safe inference, adversarial testing, and responsible AI. Focus on designing scalable LLM architectures, fine-tuning domain-specific models, and applying distributed training and risk mitigation techniques.

Location: San Jose, California, United States

Salary: $110,000–$145,000 per year

Company

hirify.global is hiring for an AI and machine learning engineering role focused on large language model safety and performance.

What you will do

  • Design and implement end-to-end safety frameworks for large language models.
  • Develop risk mitigation and safe inference strategies for reliable AI behavior.
  • Identify vulnerabilities and contribute to adversarial testing, bias detection, and mitigation.
  • Integrate safety mechanisms into AI workflows and pipelines with research and product teams.
  • Design, optimize, and fine-tune LLM architectures using domain-specific datasets.
  • Turn research ideas into working prototypes and track advances in deep learning.

Requirements

  • Bachelor’s or master’s degree in computer science, electrical engineering, or a related field.
  • Experience developing and deploying LLMs, including GPT, BERT, or related architectures.
  • Strong Python programming skills and experience with TensorFlow or PyTorch.
  • Knowledge of distributed training techniques and cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong problem-solving, communication, collaboration, and independent working skills.

Culture & Benefits

  • Collaborate with AI researchers, product teams, and other cross-functional stakeholders.
  • Work on AI safety, reliability, scalability, and responsible AI solutions.
  • Interview participants may not use AI or recording tools during live interviews unless explicitly invited or approved as a reasonable accommodation.

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