高级软件工程师 - 研究平台, 消费者设备
Senior Software Engineer - Research Platform, Consumer Devices
我们正在寻找一位软件工程师加入未来计算研究团队，该团队是消费者设备部门下的应用研究团队，专注于在实现构建造福全人类的通用人工智能（AGI）的使命过程中开发新的方法和模型。
作为未来计算研究团队的软件工程师，你将与全球顶尖的机器学习研究人员以及这一代最优秀的设计人才合作，推动模型能力的边界。
职位描述
我们正在寻找一位软件工程师加入我们的团队，构建支持人工智能研究、评估和数据生成工作流的工具和服务。
在这个职位上，优秀的工作将从一个模糊的设计问题开始，并将其转化为可工作的研究系统。你将与研究人员、设计师和工程师紧密合作，构建评估系统、合成数据生成流程、评审工具和支持平台服务。
目标是让这些工作流更容易创建、运行和信任，而无需为每个新的设计概念提供定制的工程支持。你将帮助确保研究成果有清晰的生命周期，运行可重复且可观测，结果能为产品和模型训练决策提供有用证据，同时底层系统保持可靠和可重用。
该职位位于加利福尼亚州旧金山。我们采用每周三天在办公室的混合办公模式，并为新员工提供搬迁协助。
在此职位中，你将：
- 为人工智能研究工作流构建网页应用、API、数据模型和后端服务。
- 构建用于编写和管理评估任务、评分标准、评分器、套件和发布配置的工具，包括用于发布、版本控制、审计和共享研究成果的工作流。
- 自动化评估运行并为设计、研究和工程团队生成有用的报告。
- 支持多模态和对话式研究的合成数据生成工作流，包括结合文本记录、媒体和模型比较的工具。
- 将产品和研究问题转化为可衡量的场景、自动化评分器和人工评估活动，并开发任务质量、覆盖范围、多样性及语义分布的评估指标。
- 诊断应用代码、工作者、模型端点、部署和计算基础设施中的问题，并通过健康检查、可观测性、可重复启动路径和数据完整性保障提高可靠性。
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ABOUT THE TEAM
The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models as we advance forward in our mission of building AGI that benefits all of humanity.
As a Software Engineer on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities.
ABOUT THE ROLE
We are looking for a Software Engineer to join our team to build tools and services that enable AI research, evaluation, and data generation workflows.
The best work in this role will start with an ambiguous design question and turn it into working research systems. You will work closely with researchers, designers, and engineers to build the evaluation systems, synthetic data generation pipelines, review tools, and supporting platform services.
The goal is to make these workflows easier to create, run, and trust without requiring bespoke engineering support for each new design concept. You will help ensure that research artifacts have a clear lifecycle, runs are reproducible and observable, and results provide useful evidence for product and model-training decisions while the underlying systems remain reliable and reusable.
This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
IN THIS ROLE, YOU WILL:
- 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, and develop measures of task quality, coverage, diversity, and semantic spread.
- Diagnose issues across application code, workers, model endpoints, deployments, and compute infrastructure, and 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 closely with designers, model researchers, research engineers, and infrastructure teams, and onboard contributors to create high-quality evaluation and synthetic-data workflows.
YOU MIGHT THRIVE IN THIS ROLE IF YOU:
- Have 7+ years of professional software engineering experience.
- Have strong full-stack experience across web applications, backend services, APIs, and data models, including ownership of complex systems spanning multiple services or repositories.
- Have expertise in generative AI, multimodal models, or model-evaluation systems.
- Have built effective internal tools for both technical and non-technical users.
- Are comfortable debugging distributed workflows and production infrastructure.
- Have strong product judgment and can translate ambiguous requirements into concrete plans.
- Are energized by working between designers and researchers in a multidisciplinary team, connecting qualitative judgment to rigorous evidence.
- Communicate clearly and work effectively 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.
- Operated GPU-backed inference or rollout workloads at very large scale.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
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