Research Engineer, Post-training Model Capability

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
$360,000
Machine Learning
Senior Software Engineer
In-Person
AI

Description For Research Engineer, Post-training Model Capability

OpenAI is seeking a Research Engineer for Post-training Model Capability to join their team responsible for the "post-training" or alignment of models behind ChatGPT and the API. This role involves creating a state-of-the-art post-training suite to enhance capabilities of large models for customers and consumers.

Key responsibilities include:

  1. Building product improvement flywheels
  2. Improving speech2speech modeling capabilities
  3. Building multimodal LLMs with strategic partners
  4. Conducting research on new post-training methods
  5. Collaborating with the applied organization to enable customers to optimize their own models

The ideal candidate will have:

  • Deep understanding of machine learning and its applications
  • Experience tuning large language models (multimodal) and building evaluations
  • Ability to dive into large ML codebases for debugging
  • Thrives in a dynamic and technically complex environment
  • Track record of delivering novel solutions to real-world constraints

OpenAI offers a competitive compensation package, including a base salary of $360K and generous equity. They provide comprehensive benefits, including medical, dental, and vision insurance, mental health support, 401(k) matching, unlimited time off, paid parental leave, and an annual learning stipend.

Join OpenAI in shaping the future of AI technology and ensuring that general-purpose artificial intelligence benefits all of humanity. They value diversity and are committed to equal opportunity employment.

Last updated 2 months ago

Responsibilities For Research Engineer, Post-training Model Capability

  • Create a state-of-the-art post-training suite to enhance capabilities of large models
  • Build product improvement flywheels
  • Improve speech2speech modeling capabilities
  • Build (multimodal) LLMs with strategic partners
  • Conduct research to identify new post-training methods
  • Collaborate with applied organization to enable customers to optimize their own models

Requirements For Research Engineer, Post-training Model Capability

Python
  • Deep understanding of machine learning and machine learning applications
  • Working knowledge and experience tuning large language models (multimodal) and building evaluations
  • Ability to dive into large ML codebases to debug
  • Thrives in a dynamic and technically complex environment
  • Track record of delivering outside the box novel solutions to solve real world constraints

Benefits For Research Engineer, Post-training Model Capability

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) and family-planning support
  • Annual learning & development stipend ($1,500 per year)
  • Equity

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