Post-training, Reasoning Interfaces & Core Model - Research Engineer

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
$295,000 - $360,000
Machine Learning
Senior Software Engineer
Hybrid
AI
This job posting may no longer be active. You may be interested in these related jobs instead:
Research Engineer / Research Scientist, Post-Training

Senior ML research position at OpenAI focusing on training and improving AI models for ChatGPT and API deployment, offering competitive compensation and comprehensive benefits.

Researcher (Engineer/Scientist), Training Architecture

OpenAI seeks a Researcher for Training Architecture to enhance LLM capabilities, offering $360K-$440K salary, equity, and comprehensive benefits in San Francisco.

Research Engineer, Pre-training Architecture

OpenAI is seeking a Research Engineer for Pre-training Architecture to advance neural network architecture for language models.

Research Engineer, Post-training Model Capability

OpenAI seeks a Research Engineer for post-training model capability, offering $360K+ and equity. Shape the future of AI at a leading research company.

Research Engineer, Safety Reasoning

OpenAI seeks a Research Engineer for Safety Reasoning to enhance AI safety capabilities and develop innovative machine learning techniques.

Description For Post-training, Reasoning Interfaces & Core Model - Research Engineer

OpenAI is seeking a Research Engineer / Scientist for their Post-training, Reasoning Interfaces & Core Model team. This role involves developing challenging evaluations and novel methods to train state-of-the-art models, improving their capabilities, and creating the next generation of human-AI interfaces. The ideal candidate should have a strong technical background, familiarity with the emerging LLM stack, and experience in applied Machine Learning.

Key responsibilities include:

  • Designing challenging evaluations for novel capabilities
  • Developing scalable synthetic data techniques
  • Training models and running scientific experiments
  • Iterating on research experiments and communicating insights
  • Integrating core behaviors into next-gen frontier models
  • Co-creating novel product surfaces and interaction paradigms
  • Collaborating with product, design, and engineering teams

The role requires strong Python skills, experience with Machine Learning and Large Language Models, and familiarity with frontend technologies. Experience in design engineering and rapid prototyping is a plus.

OpenAI offers a competitive compensation package, including a salary range of $295K – $360K, generous equity, and comprehensive benefits. The company is committed to diversity, equal opportunity, and creating AI systems with safety and human needs at their core.

This is a hybrid position based in San Francisco, CA, with 3 days in the office per week. Relocation assistance is available for new employees.

Last updated a month ago

Responsibilities For Post-training, Reasoning Interfaces & Core Model - Research Engineer

  • Design challenging evaluations for novel capabilities
  • Develop scalable synthetic data techniques and study them
  • Train models and run scientific experiments
  • Iterate on research experiments, clearly communicating insights to the team
  • Integrate core behaviors into the next gen frontier models
  • Co-create novel product surfaces and interaction paradigms
  • Collaborate with product, design, and engineering to bring conceptual prototypes from the research phase into production

Requirements For Post-training, Reasoning Interfaces & Core Model - Research Engineer

Python
React
TypeScript
JavaScript
  • Strong technical background
  • Familiarity with the quickly emerging LLM stack
  • Experience in an applied Machine Learning setting
  • Highly skilled in Python
  • Capable of leading ambitious projects
  • Clear communication skills
  • Familiarity with designing quality research experiments & evaluations
  • Familiarity with Machine Learning, Deep Learning, and Large Language Models
  • Familiarity with frontend technologies like React / Typescript / JS
  • Experience working in complex technical environments

Benefits For Post-training, Reasoning Interfaces & Core Model - Research Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
401k
Parental Leave
Education Budget
Equity
  • Medical, dental, and vision insurance for you and your family
  • Mental health and wellness support
  • 401(k) plan with 50% matching
  • Unlimited time off and 13 company holidays per year
  • Paid parental leave (24 weeks paid birth-parent leave & 20-week paid parental leave) and family-planning support
  • Annual learning & development stipend ($1,500 per year)
  • Generous equity

Interested in this job?