4 hours ago
Base Salary
$381k - $555k/yr
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.
Tech Stack
PyTorchTensorFlow
Categories
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.