Research Scientist

Yugal Tech Academy; San Francisco (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

A leading tech research firm in San Francisco is seeking a Research Scientist to investigate algorithmic scaling behavior within deep learning systems. The ideal candidate will have a strong background in machine learning or deep learning research, perform rigorous experiments, and develop theoretical frameworks. This position offers an opportunity to contribute to pioneering AI research in a collaborative environment.

Qualifications

• Background in statistical machine learning, physics, mathematics, or a similar field.
• Expert knowledge of deep learning algorithms demonstrated through research.
• Capable of conducting controlled experiments and reaching trustworthy conclusions.

Responsibilities

• Conduct investigations into algorithmic scaling behavior.
• Develop theories that predict scaling behavior and design experiments.
• Implement novel deep learning algorithms.

Skills

Statistical machine learning

Deep learning research

Programming

Theoretical and empirical rigor

Job description

The Scaling Laws group within Architecture works to advance our foundational understanding of our deep learning stack. We study the algorithmic scaling behavior across architecture, optimization, and data. Besides leading directly to capabilities improvements, this work underpins OpenAI’s ability to carry out other research through predictive scaling laws, correct experimental methodology, and evaluations.

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.

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.