13 дней назад
Staff AI Machine Learning Engineer (LLM)
110 000 - 145 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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