Machine Learning Engineer, Integrity

OpenAI is seeking a Machine Learning Engineer to join their Integrity team, focusing on ensuring the security and safety of their cutting-edge AI technology. This role sits at the intersection of advanced AI development and platform security, working to defend against financial abuse, scaled attacks, and other forms of misuse.

As a Machine Learning Engineer in the Applied Group, you'll work alongside leading AI experts to deploy state-of-the-art models in production environments. The position involves transforming research breakthroughs into practical solutions that enhance platform trust and safety. You'll be responsible for designing and implementing advanced machine learning models, with a particular focus on fine-tuning LLMs and building robust ML systems.

The role requires a strong technical foundation, with a Master's or PhD degree in Computer Science or related fields, and deep expertise in machine learning, particularly with transformers and deep learning frameworks. You'll need to demonstrate proficiency in PyTorch or TensorFlow and have a solid understanding of large language model training and fine-tuning techniques.

OpenAI offers a competitive compensation package, with salary ranging from $250K to $555K plus equity. The position is based in San Francisco and offers the opportunity to work at the forefront of AI development, directly influencing how artificial intelligence benefits society at large.

The company culture emphasizes collaboration, innovation, and a commitment to responsible AI development. You'll be part of a team dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity, working in an environment that values diverse perspectives and promotes inclusive practices.

This is an ideal role for someone who thrives in fast-paced environments, enjoys end-to-end problem ownership, and wants to make a significant impact in the field of artificial intelligence while ensuring its safe and beneficial deployment.