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Machine Learning Engineer, Integrity

Design and deploy advanced machine learning models to enhance platform trust and safety.
San Francisco, California, United States
Mid-Level
1 month ago

✨ About The Role

- The Machine Learning Engineer will design and deploy advanced machine learning models to address real-world problems. - This role involves collaborating closely with researchers, software engineers, and product managers to deliver AI-powered solutions. - The engineer will implement scalable data pipelines and optimize models for performance and accuracy. - Continuous learning and engagement with the latest developments in machine learning and AI are expected. - The engineer will monitor and maintain deployed models to ensure they continue delivering value to users.

âš¡ Requirements

- A Master's or PhD degree in Computer Science, Machine Learning, Data Science, or a related field is essential for this role. - Candidates should have demonstrated experience in deep learning and transformer models, showcasing their technical expertise. - Proficiency in frameworks such as PyTorch or TensorFlow is crucial for success in this position. - Strong foundational knowledge in data structures, algorithms, and software engineering principles is expected. - Excellent problem-solving and analytical skills are necessary, along with a proactive approach to challenges. - The ability to work collaboratively with cross-functional teams is important for this role. - Candidates should be comfortable working in a fast-paced environment with competing priorities and deadlines. - A willingness to take ownership of problems and seek out knowledge to complete tasks is highly valued.
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Machine Learning Engineer, Integrity
San Francisco, California, United States
Engineering
About OpenAI
Building artificial general intelligence