# Research Engineer / Research Scientist - Personal AGI, Personalization

**Company**: OpenAI
**Location**: San Francisco
**Work arrangement**: hybrid
**Job type**: Full time
**Salary**: $295K - $555K
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/1bf678c5-1058-45ca-b9bd-b0029fccd60e?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ea551780-02c

## Description

## Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $295K – $555K, and total compensation also includes generous equity, performance-related bonuses for eligible employees, and the following benefits.

Benefits include:

- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

- 401(k) retirement plan with employer match

- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time

- Mental health and wellness support

- Employer-paid basic life and disability coverage

- Annual learning and development stipend to fuel your professional growth

- Daily meals in our offices, and meal delivery credits as eligible

- Relocation support for eligible employees

- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

## About the Team

The Personalization-Memory team, within OpenAI's broader Personal AGI organization, focuses on developing agents that can learn from prior interactions to become more helpful and efficient over time. They build general-purpose memory and personalization capabilities that transfer across ChatGPT and other agentic products, collaborating with applied engineering on product surfaces that allow users to interact with memory.

## About the Role

As a Research Engineer / Research Scientist on the Personalization-Memory team, you will research and develop improvements to memory usage and personalization in OpenAI's frontier models. The team works on reinforcement learning, dataset creation, evaluations, and other post-training methods, partnering closely with research and product teams across the company to realize the vision of a truly personalized ChatGPT.

## Responsibilities

- Own and pursue a research agenda for improving memory use and personalization in frontier models.

- Build robust evaluations for tracking modeling improvements.

- Design, implement, test, and debug code across the research stack.

- Collaborate closely with research and product teams to influence the shape of technical solutions in the product.

## Requirements

- Passionate about personalization and building personalized assistants.

- Experience working with user signals and human data to turn feedback into reliable signals for training and evaluation.

- Deep understanding of frontier model post-training and machine learning applications.

- Principled approaches and research craftsmanship.

- Comfortable diving into a large ML codebase to debug.

- Thrives in a fast-paced, dynamic, and technically complex environment.

## Skills

### Required
- reinforcement learning
- dataset creation
- evaluations
- post-training methods
- machine learning applications

### Nice to have
- frontier model post-training
- personalization
- memory usage

---

Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/1bf678c5-1058-45ca-b9bd-b0029fccd60e?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
