Machine Learning Engineer, Integrity
Description For Machine Learning Engineer, Integrity
OpenAI's Integrity team is seeking a Machine Learning Engineer to join their Applied AI department, focusing on ensuring the security and integrity of their cutting-edge AI technology. This role offers an opportunity to work with leading AI experts, deploying state-of-the-art models in production environments. The position involves defending against financial abuse, scaled attacks, and other forms of misuse while maintaining platform stability.
The ideal candidate will contribute to transforming research breakthroughs into practical solutions that enhance platform trust and safety. Working in OpenAI's Applied Group, you'll collaborate with top talent in AI, participating in fine-tuning LLMs and building ML models. The role combines innovative technical work with practical implementation, requiring expertise in deep learning, transformers, and production-level ML systems.
The position offers competitive compensation ranging from $310K to $550K, along with comprehensive benefits including medical, dental, and vision insurance, mental health support, and generous parental leave. OpenAI provides an environment that values diversity, continuous learning, and impactful work, making it an ideal place for those passionate about advancing AI technology responsibly.
This role is perfect for candidates with advanced degrees in relevant fields, strong technical skills, and a desire to work on cutting-edge AI applications. You'll be part of a team dedicated to ensuring AI benefits humanity while maintaining high engineering standards and innovative approaches to complex challenges.
Responsibilities For Machine Learning Engineer, Integrity
- Design and deploy advanced machine learning models that solve real-world problems
- Work closely with researchers, software engineers, and product managers
- Implement scalable data pipelines
- Optimize models for performance and accuracy
- Monitor and maintain deployed models
- Contribute to code reviews and knowledge sharing
Requirements For Machine Learning Engineer, Integrity
- Master's/PhD degree in Computer Science, Machine Learning, Data Science, or related field
- Demonstrated experience in deep learning and transformers models
- Proficiency in frameworks like PyTorch or Tensorflow
- Strong foundation in data structures, algorithms, and software engineering principles
- Experience with search relevance, ads ranking or LLMs is a plus
- Familiar with methods of training and fine-tuning large language models
- Excellent problem-solving and analytical skills
- Ability to work collaboratively with cross-functional teams
- Ability to move fast in an environment with competing priorities
Benefits For Machine Learning Engineer, Integrity
- Medical, dental, and vision insurance for you and your family
- Mental health and wellness support
- 401(k) plan with 50% matching
- Unlimited time off
- 24 weeks paid birth-parent leave & 20-week paid parental leave
- Annual learning & development stipend ($1,500 per year)
- Multiple company holidays and office closures
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