Post-training - Model Fusion Research Engineer

Key Skills

API, ChatGPT, Data science techniques, Design, GPUs, Infrastructure as code, Kubernetes-K8s, Machine learning techniques, Python Programming

Job Description

We are seeking an engineer to accelerate the deployment of improvements to our models. You will collaborate with diverse teams handling various facets of the system, including core capabilities, multimodal integration (speech, images, and video), tools, and more. This role offers a unique opportunity to shape the future of ChatGPT, working across the technology stack, from optimizing low-level components like GPU kernels and network traffic to mastering the intricacies of RL post-training.

The ideal candidate has a robust technical background in areas such as data technologies, reliable software engineering, production ML model development, and cross-functional collaboration. While research experience is not required, a deep understanding of ML fundamentals and large-scale deep learning is essential for troubleshooting and analyzing complex system and ML issues. Excellent verbal and written communication skills, along with strong project management abilities, are crucial as you will collaborate with both technical research teams and non-technical product teams across the company.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Lead the regular release process of ChatGPT and API models.

• Dive deep into large ML codebases to diagnose and resolve systems and ML issues.

• Ensure a stable, smooth, and user-friendly model development process.

• Collaborate with cross-functional teams to design new features and integrate enhancements into ChatGPT.

Sample projects include:

• Consulting with product teams on how to best improve ChatGPT in some particular way.

• Integrating new multimodal features or tools into ChatGPT.

• Working with data scientists to understand the impact of new models on users.

You might thrive in this role if you:

• Are a team player – willing to do a variety of tasks that move the team forward.

• Experience working in complex technical environments

• Experience debugging ML systems.

• Experience with reinforcement learning and or transformers

• Experience with python

• Experience with kubernetes / distributed infrastructure

• Experience with GPU’s

• Experience with 1 or more large scale data systems such as beam or spark.

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.

Compensation

$360K – $440K