Machine Learning Engineer, Integrity

AI research and deployment company dedicated to ensuring general-purpose artificial intelligence benefits all of humanity.
$250,000 - $555,000
Machine Learning
Senior Software Engineer
In-Person
1,000 - 5,000 Employees
5+ years of experience
AI

Description For Machine Learning Engineer, Integrity

OpenAI is seeking a Machine Learning Engineer to join their Integrity team within the Applied AI department. This role offers an opportunity to work with cutting-edge AI technology, focusing on maintaining platform security and preventing adversarial threats. The position combines advanced machine learning expertise with practical implementation, requiring candidates to deploy state-of-the-art models in production environments.

The role involves working with some of the brightest minds in AI, contributing to the deployment of advanced models that enhance platform trust and safety. Key responsibilities include designing and implementing ML solutions, collaborating with cross-functional teams, and optimizing data pipelines for production environments. The ideal candidate will have advanced degrees in relevant fields, extensive experience with deep learning and transformer models, and strong software engineering fundamentals.

OpenAI offers a competitive compensation package ranging from $250K to $555K, plus equity and comprehensive benefits including medical insurance, 401(k) matching, and generous parental leave. The position is based in San Francisco and provides an opportunity to work on meaningful projects that directly impact how AI benefits society. The company culture emphasizes innovation, collaboration, and maintaining high engineering standards while working on loosely defined problems that require creative solutions.

This role would be ideal for someone passionate about AI safety and integrity, who enjoys tackling complex technical challenges and wants to contribute to ensuring AI technology benefits humanity. The position offers significant growth potential and the chance to work on cutting-edge AI applications while being part of a team dedicated to responsible AI development.

Last updated 14 days ago

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
  • Participate in code reviews and knowledge sharing

Requirements For Machine Learning Engineer, Integrity

Python
  • 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 Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
401k
Parental Leave
Education Budget
  • Medical, dental, and vision insurance for you and your family
  • Mental health and wellness support
  • 401(k) plan with 50% matching
  • Generous time off and company holidays
  • 24 weeks paid birth-parent leave & 20-week paid parental leave
  • Annual learning & development stipend ($1,500 per year)
  • Equity compensation

Interested in this job?

Jobs Related To OpenAI Machine Learning Engineer, Integrity

Sr. Software Development Engineer, Demand Science Optimization (DSO)

Senior Software Engineering role at Amazon focusing on machine learning and big data analytics for device demand forecasting and supply chain optimization.

Delivery Consultant - Machine Learning Engineer, WWPS ProServe

Senior ML Engineering role at AWS Professional Services, focusing on implementing machine learning solutions for enterprise customers using AWS cloud services.

Senior Software Engineer, LLM Inference

Senior Software Engineer position at NVIDIA focusing on LLM Inference development, requiring expertise in C++, deep learning, and AI technologies.

Generative AI Engineer - Model Optimization & Evaluation

Senior AI Engineering role focused on optimizing and evaluating transformer-based models, requiring expertise in model compression, quantization, and deployment across various computing environments.

Sr. Machine Learning Engineer

Senior Machine Learning Engineer role at Adobe focusing on developing and deploying ML models and pipelines for content generation, offering competitive compensation $142K-$257K.