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Machine Learning Engineer

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Machine Learning Engineer in USA

  • San Francisco, CA

Responsibilities

  • Design and deploy advanced machine learning models for real-world monetization problems.
  • Translate OpenAI research breakthroughs into production AI-driven applications.
  • Build scalable data pipelines and optimize models for performance, accuracy, and production readiness.
  • Collaborate with researchers, software engineers, product managers, and cross-functional partners.
  • Monitor and maintain deployed models to ensure continued value.
  • Participate in code reviews, share knowledge, and maintain high-quality engineering practices.

Requirements

  • Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related field.
  • Demonstrated experience with deep learning and transformer models.
  • Proficiency with PyTorch or TensorFlow.
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Familiarity with training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy optimization.
  • Experience with search relevance, ads ranking, or LLMs is a plus.
  • Strong problem-solving, analytical, collaboration, ownership, and adaptability skills.

Salary: $381k - $555k/yr

OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests fi...

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