Research Engineer
@ OpenAI

San Francisco, CA
$150,000
On Site
Full Time
Posted 22 hours ago

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Job Details

About The Role

In the Research Engineer role at OpenAI, you will build AI systems capable of unprecedented performance, pushing the boundaries of machine learning through large-scale distributed systems.

You will design, implement, and improve massive-scale distributed machine learning systems while writing bug-free code and developing the science behind advanced algorithms.

Responsibilities:

  • Design and implement distributed machine learning systems.
  • Write and maintain high-quality ML code.
  • Contribute to research driven engineering initiatives.

We Expect You To:

  • Have strong programming skills.
  • Demonstrate experience in large distributed systems.
  • Be excited about OpenAI’s research approach.

Nice To Have:

  • Interest in the impacts of AI technology.
  • Experience in high-performance deep learning implementations.

About OpenAI:

OpenAI is dedicated to advancing artificial intelligence safely and equitably for all. We value diverse perspectives and are committed to non-discrimination and equal opportunity.

For additional information and to apply, please review our Equal Employment Opportunity Policy and Applicant Privacy Policy.

Key skills/competency

  • Research Engineer
  • Artificial Intelligence
  • Machine Learning
  • Distributed Systems
  • Programming
  • Deep Learning
  • Algorithms
  • Code Quality
  • Research
  • Engineering
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How to Get Hired at OpenAI

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor skills and projects to OpenAI requirements.
  • Study OpenAI Culture: Review their mission and recent breakthroughs.
  • Showcase Distributed Systems Experience: Highlight large-scale ML implementations.
  • Prepare for Technical Interviews: Practice coding and algorithm challenges.

📝 Interview Preparation Advice

Technical Preparation

Review distributed systems architecture concepts.
Practice high-performance ML algorithm coding.
Study large-scale data handling techniques.
Refresh programming language fundamentals.

Behavioral Questions

Describe a challenging project experience.
Explain teamwork in distributed environments.
Discuss handling project deadlines effectively.
Share adaptation to evolving project scopes.

Frequently Asked Questions