Research Engineer/Scientist, Long Context (Foundations)

Posted 19 Days Ago
Be an Early Applicant
San Francisco, CA
Mid level
Artificial Intelligence • Machine Learning • Generative AI
The Role
The Research Engineer/Scientist is responsible for investigating algorithmic scaling behavior and improving deep learning algorithms through principled research and careful experiments.
Summary Generated by Built In

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. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

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.

OpenAI Global Applicant Privacy Policy

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.

Top Skills

Deep Learning Algorithms
Mathematics
Physics
Statistical Machine Learning
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The Company
HQ: San Francisco, CA
224 Employees
On-site Workplace
Year Founded: 2015

What We Do

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit.

To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership.

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.

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