OpenAI

Machine Learning Engineer, Integrity

OpenAIToday
Location

San Francisco

Type

Full Time

Salary

USD 266,000 – 555,000

Level

Senior

Role

Machine Learning Engineer

Posted

Mar 17, 2026

Full TimeSenior

The role

Summary

OpenAI's Integrity Machine Learning Engineer role focuses on developing cutting-edge AI models to defend against adversarial threats and ensure platform security. The position requires advanced machine learning expertise to deploy state-of-the-art models that protect and improve AI system integrity across various applications.

What you'll do

Model Innovation: Design and deploy advanced machine learning models that solve real-world integrity and security challenges for AI platforms.
Cross-Functional Collaboration: Work closely with researchers, software engineers, and product managers to understand complex business challenges and develop AI-powered solutions.
Performance Optimization: Implement scalable data pipelines, optimize machine learning models for performance and accuracy, and ensure production-readiness.
Continuous Learning: Stay updated with latest developments in machine learning and AI, participate in code reviews, and maintain high-quality engineering practices.
Model Monitoring: Continuously monitor and maintain deployed models to ensure ongoing value delivery and system integrity.

What we look for

Technical

Deep Learning ExpertiseDemonstrated experience in deep learning and transformer models
Machine Learning FrameworksProficiency in PyTorch or TensorFlow
Model TrainingFamiliar with training and fine-tuning large language models, including techniques like distillation, supervised fine-tuning, and policy optimization

Education

Advanced DegreeMaster's or PhD in Computer Science, Machine Learning, Data Science, or related field

Experience

Software Engineering FundamentalsStrong foundation in data structures, algorithms, and software engineering principles
Preferred ExperienceBackground in search relevance, ads ranking, or Large Language Models (LLMs)

Skills

Required skills

Problem SolvingExcellent analytical skills with a proactive approach to challenges
CollaborationAbility to work effectively with cross-functional teams
AdaptabilityCapable of working in dynamic environments with competing priorities

Nice to have

Research BackgroundExperience translating machine learning research into practical applications
AI EthicsUnderstanding of responsible AI development and deployment

Compensation & benefits

Salary

USD 266,000 – 555,000 (annual)

Stock options

Available

Benefits

Equity Compensation

Stock options providing potential long-term financial growth

Cutting-Edge Technology

Opportunity to work on groundbreaking AI technologies

Professional Development

Continuous learning and exposure to advanced AI research


Interview process

  1. 1
    Initial Screening HR review of application and resume
  2. 2
    Technical Phone Screen Discussion of technical skills and machine learning background
  3. 3
    Machine Learning Challenge Take-home project or live coding exercise focused on ML problem-solving
  4. 4
    Onsite/Virtual Interviews Multiple technical interviews with team members, including deep dives into ML expertise
  5. 5
    Final Interview Discussion with team leadership about role alignment and career potential

Apply for this position

You'll be redirected to the company's application page