Senior Software Engineer - Research Platform, Consumer Devices

Details

The Future of Computing Research team is an applied research team within the Consumer Devices group focused on developing new methods and models in pursuit of building AGI that benefits all of humanity. The Software Engineer will work with machine learning researchers, designers, and engineers to build tools and services that enable AI research, evaluation, and data-generation workflows.

The role involves turning ambiguous design questions into working research systems, including evaluation systems, synthetic data-generation pipelines, review tools, and supporting platform services. These systems should make workflows easier to create, run, and trust while providing clear artifact lifecycles, reproducible and observable runs, useful evidence for product and model-training decisions, and reliable, reusable infrastructure.

This role is based in San Francisco, California. The team uses a hybrid work model requiring three days in the office per week.

Responsibilities

• Build web applications, APIs, data models, and backend services for AI research workflows.
• Build tools to author and manage evaluation tasks, rubrics, graders, suites, and rollout configurations, including workflows for publishing, versioning, auditing, and sharing research artifacts.
• Automate evaluation runs and generate useful reports for design, research, and engineering teams.
• Support synthetic data-generation workflows for multimodal and conversational research, including tools that combine transcripts, media, and model comparisons.
• Translate product and research questions into measurable scenarios, automated graders, and human-evaluation campaigns.
• Develop measures of task quality, coverage, diversity, and semantic spread.
• Diagnose issues across application code, workers, model endpoints, deployments, and compute infrastructure.
• Improve reliability through health checks, observability, reproducible launch paths, data-integrity safeguards, and automated verification.
• Lead migrations and dependent changes across research tools, evaluation systems, and supporting services.
• Partner with designers, model researchers, research engineers, and infrastructure teams.
• Onboard contributors to create high-quality evaluation and synthetic-data workflows.

Requirements

• Seven or more years of professional software engineering experience.
• Strong full-stack experience across web applications, backend services, APIs, and data models.
• Experience owning complex systems spanning multiple services or repositories.
• Expertise in generative AI, multimodal models, or model-evaluation systems.
• Experience building effective internal tools for technical and non-technical users.
• Ability to debug distributed workflows and production infrastructure.
• Strong product judgment and the ability to translate ambiguous requirements into concrete plans.
• Ability to work effectively between designers and researchers in a multidisciplinary team, connecting qualitative judgment to rigorous evidence.
• Clear communication and effective collaboration across engineering, design, and research.

Nice to Have

• Expertise in synthetic data generation, simulation, conversational AI, speech, video, motion, or embodied interaction.
• Experience with automated graders, human evaluation, supervised fine-tuning, reinforcement learning, or experiment- and dataset-management platforms.
• Experience operating GPU-backed inference or rollout workloads at very large scale.

Benefits

• Base salary of $293,000–$325,000 per year.
• Equity and performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, office closures, and paid sick or safe time as required by applicable law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal-delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.

OpenAI is an equal opportunity employer and is committed to providing reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law.