Engineering Manager, MLE

Highlights

• Defend OpenAI platforms against misuse, content abuse and scaled attacks.
• Turn research breakthroughs into trust and safety solutions at scale.
• Design and deploy advanced ML models solving real-world integrity problems.

What they offer

• Equity

Ideal candidate

ML engineer with deep learning expertise who thrives owning ambiguous problems end-to-end and wants to apply LLMs to protect platform integrity and user trust.

Requirements

• Master's or PhD in Computer Science, Machine Learning, Data Science or related field
• Demonstrated experience in deep learning and transformer models
• Proficiency in PyTorch or TensorFlow
• Strong foundation in data structures, algorithms and software engineering principles
• Familiarity with training and fine-tuning LLMs including distillation, SFT and policy optimization
• Excellent problem-solving skills with ability to move fast amid ambiguity
• Ability to work collaboratively with cross-functional teams and own problems end-to-end