Research Engineer/Scientist, Long Context (Foundations)

OpenAI; San Francisco (CA); On-site; USD 380,000 - 555,000; Full time

Job summary

An innovative research organization is seeking a Research Scientist to explore algorithmic scaling behavior and enhance deep learning capabilities. This role involves rigorous experimentation and theoretical development, ideal for candidates with a strong background in machine learning or deep learning. Join a forward-thinking team dedicated to pushing the boundaries of AI while ensuring its benefits are shared across humanity. If you are passionate about making a significant impact in the AI field, this opportunity is perfect for you.

Qualifications

• Strong background in statistical machine learning or deep learning.
• Experience with algorithm design and execution.

Responsibilities

• Conduct investigations and develop theories on algorithmic scaling behavior.
• Design and execute experiments to improve algorithms.

Skills

Statistical Machine Learning

Deep Learning Algorithms

Programming

Education

PhD in a related field

Master's in Mathematics or Physics

Job description

About the Team

The Long Context group within Foundations works to understand and improve scaling in context length. We study the behavior across algorithms, optimization, and data. Besides leading directly to capabilities improvements, this work underpins OpenAI's ability to carry out other research that uses long contexts.

About the Role

As a Research Scientist here, you will be responsible for conducting investigations and developing principled theories that predict algorithmic scaling behavior. You will build and apply theoretically-grounded intuitions, design and execute careful experiments, think deeply about hyperparameters, and deliver improvements across all aspects of our algorithms.

You might thrive in this role if:

• You have a background in statistical machine learning, physics, mathematics, or another theoretically and empirically rigorous field.

• Or, you have a strong track record in deep learning research demonstrating an expert knowledge of deep learning algorithms (objectives, architecture, optimization).

• You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time.

• You are a capable programmer and are comfortable implementing novel deep learning algorithms correctly and autonomously.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

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For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $380K - $555K