
About OpenAI
Empowering humanity through safe AI innovation
Key Highlights
- Headquartered in San Francisco, CA with 1,001+ employees
- $68.9 billion raised in funding from top investors
- Launched ChatGPT, gaining 1 million users in 5 days
- 20-week paid parental leave and unlimited PTO policy
OpenAI is a leading AI research and development platform headquartered in the Mission District of San Francisco, CA. With over 1,001 employees, OpenAI has raised $68.9 billion in funding and is known for its groundbreaking products like ChatGPT, which gained over 1 million users within just five day...
🎁 Benefits
OpenAI offers flexible work hours and encourages unlimited paid time off, promoting at least 4 weeks of vacation per year. Employees enjoy comprehensi...
🌟 Culture
OpenAI's culture is centered around its mission to ensure that AGI benefits all of humanity. The company values transparency and ethical consideration...
Skills & Technologies
Overview
OpenAI is hiring a Machine Learning Engineer to design and scale infrastructure for large-scale multimodal training and evaluation. You'll work with distributed data systems and collaborate closely with researchers. This position requires strong experience in building reliable infrastructure.
Job Description
Who you are
You have a strong background in distributed systems and have experience designing and scaling data infrastructure for machine learning applications. Your attention to detail ensures that you build reliable systems that can handle high-stakes environments effectively. You excel at collaborating with researchers to translate complex requirements into robust, production-ready systems. Your expertise in data orchestration and streaming infrastructure allows you to optimize data pipelines for efficiency and scalability.
You are detail-oriented and thrive in fast-paced environments where you can apply your technical skills to solve challenging problems. Your experience with machine learning infrastructure equips you with the knowledge to ensure that data platforms can scale significantly while maintaining reliability. You understand the importance of security and efficiency in data management and are committed to building systems that align with OpenAI's mission of broad societal benefit.
What you'll do
In this role, you will design, build, and maintain critical data infrastructure systems that support multimodal training at OpenAI. You will manage distributed data pipelines, ensuring they are optimized for performance and reliability. Collaborating closely with researchers, you will translate their requirements into effective data solutions that enhance the capabilities of OpenAI's foundation models. Your work will involve hardening and optimizing existing systems to support rapid iteration cycles within the Sora team.
You will also be responsible for ensuring that the data infrastructure can scale by orders of magnitude, allowing for efficient processing of large datasets. Your role will require you to stay updated on the latest technologies and best practices in distributed systems and machine learning infrastructure. You will play a key part in maintaining the integrity and security of the data systems, ensuring they meet the high standards expected in a research and product environment.
What we offer
OpenAI offers a hybrid work model, allowing you to work three days in the office per week while providing relocation assistance for new employees. You will be part of a pioneering team focused on integrating multimodal functionalities into AI products, contributing to projects that have a broad societal impact. The culture at OpenAI emphasizes collaboration, innovation, and a commitment to ethical AI development, making it an exciting place to grow your career.
You will have the opportunity to work alongside talented engineers and researchers, contributing to cutting-edge projects that push the boundaries of what AI can achieve. OpenAI is dedicated to providing a supportive environment where you can thrive and make meaningful contributions to the future of technology.
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