Researcher, Connectors - Agent Post-Training
WFA Digital Insight
The demand for skilled researchers in AI and machine learning has grown significantly, with a 25% increase in job openings in the past year. Openai is at the forefront of this field, and this role offers a unique opportunity to work on cutting-edge projects. With the rise of remote work, companies are looking for professionals who can work independently and collaborate with global teams. To succeed in this role, candidates should have strong technical fundamentals and experience with machine learning, software engineering, and Salesforce. Before applying, candidates should be prepared to showcase their problem-solving skills, research experience, and ability to work in a fast-paced environment.
Job Description
About the Role
The Agent Post-Training team at Openai is responsible for creating the next generation of agents that can operate computers, collaborate with people, and expand what is possible. As a Researcher, Connectors, you will play a key role in teaching models how to interface with top professional software using code. You will work closely with researchers, engineers, and product teams to develop and improve post-training models, with a focus on Salesforce integration.The team's work spans coding, tool use, computer use, multi-agent coordination, and long-horizon execution. You will have the opportunity to work on complex projects, such as designing and running experiments to improve agentic model behavior, building evals and environments to expose model failures, and partnering with product teams to understand user needs.
What You Will Do
- Design and run experiments to improve agentic model behavior for complex software and plugins
- Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis
- Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions
- Partner with Codex and ChatGPT product teams to understand what users need and translate product signal into model improvements
- Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior
- Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs
- Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness
- Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness
- Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes
What We Are Looking For
- Strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field
- Hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems
- Experience with Salesforce or similar software
- Ability to learn quickly across new areas and technologies
- Strong problem-solving skills and ability to work independently
- Excellent communication and collaboration skills
Nice to Have
- Experience with multi-agent systems or training directly against production-like environments
- Knowledge of computer vision, natural language processing, or other AI applications
- Familiarity with agile development methodologies and version control systems
Benefits and Perks
- Competitive compensation package
- Opportunity to work on cutting-edge AI projects
- Collaborative and dynamic work environment
- Flexible working hours and remote work options
- Professional development and training opportunities
- Access to state-of-the-art technology and tools
How to Stand Out
- Be prepared to showcase your problem-solving skills and research experience in your application and during the interview process.
- Highlight your ability to work independently and collaborate with global teams.
- Familiarize yourself with Openai's products and services, including Codex and ChatGPT.
- Emphasize your experience with machine learning, software engineering, and Salesforce.
- Be prepared to discuss your experience with experiment design, data analysis, and model training.
- Show enthusiasm for working on complex projects and willingness to learn new technologies.
- Research the company culture and values to demonstrate your fit with the organization.
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