Enable job alerts via email!

Research Engineer / Research Scientist, Post-Training

OpenAI

San Francisco (CA)

Hybrid

USD 295,000 - 530,000

Full time

13 days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

A leading AI research company seeks skills of a Research Engineer / Scientist to advance pre-trained model capabilities. This role focuses on a hybrid work model in San Francisco, integrating strong ML engineering within a collaborative, innovative environment. Ideal candidates will be professionals passionate about enhancing AI products through rigorous research methodologies.

Benefits

Relocation assistance
Hybrid work model

Qualifications

  • Strong ML engineering skills with experience in high-capacity models.
  • Deep understanding of ML applications.
  • Proven ability to design and debug complex ML systems.

Responsibilities

  • Own and pursue a research agenda to improve model performance.
  • Collaborate with research and product teams to optimize models.
  • Build evaluations for tracking modeling improvements.

Skills

Machine Learning
Model Evaluation
Debugging

Education

Degree in a relevant field

Job description

Research Engineer / Research Scientist, Post-Training | OpenAI

Careers

Research Engineer / Research Scientist, Post-Training

Post-training - San Francisco

Apply now (opens in a new window)

About the Team

The Post-Training team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and potential future products. The team partners closely with research and product teams across the company, and conducts research as a final step to prepare for real world deployment to millions of users, ensuring that our models are safe, efficient, and reliable.

About the Role

As a Research Engineer / Scientist, you will research and develop improvements to our models. Our team works in research areas combining reinforcement learning and products.

We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models. An ideal candidate is passionate about product-driven research.

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:

  • Own and pursue a research agenda to improve model capability and performance.

  • Collaborate closely with the other research and product teams, allowing customers to optimize their own models.

  • Build robust evaluations for tracking modeling improvements.

  • Design, implement, test, and debug code across our research stack.

You might thrive in this role if you:

  • Have a deep understanding of machine learning and machine learning applications.

  • Have a working knowledge of relevant models, and building evaluations for model capability improvement.

  • Are comfortable diving into a large ML codebase to debug.

  • Thrive in a dynamic and technically complex environment.

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 we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement .

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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

$295K – $530K + Offers Equity

Apply now (opens in a new window)

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Research Engineer / Scientist, Multimodal

OpenAI

San Francisco

Hybrid

USD 310.000 - 460.000

6 days ago
Be an early applicant

Research Scientist, Science of Post Training

OpenAI

San Francisco

Hybrid

USD 295.000 - 530.000

9 days ago

Research Engineer, Post Training RL

TensorStax

San Francisco

On-site

USD 100.000 - 300.000

8 days ago

Machine Learning Research Scientist / Research Engineer, Post-Training

Scale AI, Inc.

California

On-site

USD 220.000 - 325.000

30+ days ago

Research Engineer - Multimodal Language Models

The Rundown AI, Inc.

Palo Alto

On-site

USD 200.000 - 300.000

4 days ago
Be an early applicant

Member of Technical Staff, Research Engineer / Research Scientist (Post-Training)

Side Hamburg

Palo Alto

On-site

USD 175.000 - 350.000

30+ days ago

Manager, Research Scientist: Post-Training

Scale AI, Inc.

California

On-site

USD 230.000 - 325.000

30+ days ago

Machine Learning Research Scientist/Engineer, Audio

Scale AI

San Francisco

On-site

USD 200.000 - 325.000

30+ days ago

Research Engineer, Post-Training Evals

OpenAI

San Francisco

Hybrid

USD 295.000 - 530.000

30+ days ago