Product Engineer
加入一个产品工程团队建立了一个平台和市场，用于加强学习环境。你将拥有端到端的产品挑战，帮助创作者提交和发现工作，并帮助研究团队评估和改进 AI 代理人。你会做什么？- 与产品，设计，工程，研究和进入市场团队合作，以确定用户摩擦和优先考虑改善。-直接与环境创造者和研究团队谈论创建，测试，评估和发现强化学习环境。- 从问题定义到发射和代，从平台及市场中设计，原型和船舶改进。- 构建前端和后端功能用于安装，提交，审查和发现工作流程。- 使代理运行，评估结果，奖励信号以及质量反更容易理解和采取行动。- 使用用户反和产品数据来评估结果，完善体验并提供交易信息。我们正在寻找什么？- 从了解用户需求到实现和代的软件产品到终端运输经历。- 包括精致的前端界面和后端服务或 API 等全面的网络应用体验。- 强大的产品判断，包括识别潜在问题，设定范围和对不完整信息进行妥协。- 对用户采访的经验以及应用质量反和产品数据来改善运输的产品。- 互动设计技能和重点放在复杂技术工作流中清晰度和可用性上。- 在开发人员工具，数据丰富的产品，市场或服务于不同的用户群体中的背景。- 与人工智能代理人熟悉，评估，加强学习，培训数据或审查，调试和质量反？? 的工作流程。- 透明沟通和跨职能的团队合作经验。COMPENSATION & BENEFITS 基本工资范围：每年100,000至225,000美元。可获得签证赞助。位置远程，70%到80%的时区与旧金山，加利福尼亚或新加坡重叠。该角色也与旧金沙和新加坡的办事处有关。
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ABOUT THE ROLE
Join a product engineering team building a platform and marketplace for reinforcement learning environments. You will own end-to-end product challenges that help creators submit and discover work, and help research teams evaluate and improve AI agents.
WHAT YOU'LL DO
- Partner with product, design, engineering, research, and go-to-market teams to identify user friction and prioritize improvements.
- Speak directly with environment creators and research teams about creating, testing, evaluating, and discovering reinforcement learning environments.
- Design, prototype, and ship improvements across the platform and marketplace, from problem definition through launch and iteration.
- Build frontend and backend features for onboarding, submissions, review, and discovery workflows.
- Make agent runs, evaluation results, reward signals, and quality feedback easier to understand and act on.
- Use user feedback and product data to assess outcomes, refine experiences, and inform tradeoffs.
WHAT WE'RE LOOKING FOR
- Experience shipping software products end-to-end, from understanding user needs through implementation and iteration.
- Full-stack web application experience, including polished frontend interfaces and backend services or APIs.
- Strong product judgment, including identifying underlying problems, setting scope, and making tradeoffs with incomplete information.
- Experience interviewing users and applying qualitative feedback and product data to improve shipped products.
- Interaction design skills and a focus on clarity and usability in complex technical workflows.
- Background in developer tools, data-rich products, marketplaces, or products serving distinct user groups.
- Familiarity with AI agents, evaluations, reinforcement learning, training data, or workflows for review, debugging, and quality feedback.
- Clear communication and experience working across cross-functional teams.
COMPENSATION & BENEFITS
Base salary range: $100,000 to $225,000 USD annually. Visa sponsorship is available.
LOCATION
Remote, with 70% to 80% time zone overlap with San Francisco, California or Singapore. The role is also associated with offices in San Francisco and Singapore.