Research Engineer, Safety Engineering
Description For Research Engineer, Safety Engineering
OpenAI is seeking a Research Engineer to join their Safety Systems team, focusing on ensuring the safety, robustness, and reliability of AI models. This role combines cutting-edge machine learning engineering with a crucial focus on AI safety. The position offers a competitive salary range of $310K-$550K plus equity and comprehensive benefits.
The Safety Systems team builds on years of practical alignment work and applied safety efforts, addressing emerging safety issues and developing fundamental solutions for safe AI deployment. As a Research Engineer, you'll work at the intersection of research and engineering, implementing safety measures throughout the AI development lifecycle - from pre-training data filtration to deployment-time safety mitigations.
The role requires expertise in deep learning, transformer models, and frameworks like PyTorch or TensorFlow. You'll collaborate with cross-functional teams, implement scalable solutions, and directly influence how AI benefits society. The ideal candidate combines technical expertise with a passion for AI safety and the ability to work in a collaborative environment.
OpenAI offers an exceptional benefits package, including comprehensive healthcare, mental health support, generous parental leave (24 weeks for birth parents), and an annual learning stipend. The company's mission-driven approach and commitment to ensuring AI benefits humanity make this an unique opportunity to work on meaningful problems at the forefront of AI development.
Located in San Francisco, this position offers the chance to work with leading AI researchers and engineers while contributing to OpenAI's mission of ensuring general-purpose artificial intelligence benefits all of humanity. The role combines technical challenges with the opportunity to make a lasting impact on the safe development of AI technology.
Responsibilities For Research Engineer, Safety Engineering
- Design and deploy advanced machine learning models that solve real-world problems
- Implement safety measures at various stages of AI model development and deployment
- Work 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 maintain high-quality engineering practices
Requirements For Research Engineer, Safety Engineering
- 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
- Familiar with methods of training and fine-tuning large language models
- Ability to work collaboratively with cross-functional teams
Benefits For Research Engineer, Safety Engineering
- 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
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