Machine Learning Engineer, Integrity
San Francisco • FullTime
Posted 6mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
As a Machine Learning Engineer in OpenAI's Integrity team, you will work on state-of-the-art models and classifiers, experiment with new architectures and approaches, and advance our capabilities in content and user understanding. This role offers the chance to transform research breakthroughs into tangible solutions that enhance the trust and safety of our platform, with a focus on training LLMs and building ML models. You will be instrumental in designing and deploying advanced machine learning models to solve real-world problems, bringing OpenAI's research from concept to implementation and creating AI-driven applications with direct impact.
Responsibilities
- Design and deploy advanced machine learning models to solve real-world problems.
- Bring OpenAI's research from concept to implementation, creating AI-driven applications.
- Collaborate with researchers, software engineers, and product managers to deliver AI-powered solutions.
- Implement scalable data pipelines, optimize models for performance and accuracy, and ensure production readiness.
- Engage with the latest developments in machine learning and AI, participate in code reviews, and share knowledge.
- Monitor and maintain deployed models to ensure continued value delivery.
Requirements
- Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
- Demonstrated experience in deep learning and transformer models.
- Experience with content understanding or abuse prevention with LLMs is a plus.
- Proficiency in frameworks like PyTorch or Tensorflow.
- Strong foundation in data structures, algorithms, and software engineering principles.
- Familiarity with methods of training and fine-tuning large language models (e.g., distillation, supervised fine-tuning, policy optimization).
- Excellent problem-solving and analytical skills with a proactive approach.
- Ability to work collaboratively with cross-functional teams.
- Ability to move fast in an environment with competing priorities or deadlines.
- Willingness to own problems end-to-end and acquire necessary knowledge.