高级AI系统工程师
Sr. AI Systems Engineer
AiFi 是一个空间智能平台，通过实时人工智能帮助企业在物理空间中进行理解和运营。我们的平台以摄像头优先、注重隐私为基础，将物理环境转化为可操作的系统，提升运营效率，提高客户体验，并释放可衡量的商业价值。AiFi 正在构建一个未来，使物理世界像数字世界一样可以搜索、观察和理解。
在零售、便利店、场所、专业零售、快餐店和交通枢纽等领域，AiFi 帮助客户解决诸如欺诈预防、缺货和陈列优化、全天候商业支持、无排队高端入场、全渠道分析、人力优化、订单准确性和无摩擦访问等问题。在全球多种模式的部署中，AiFi 正在建立一个强大的现实世界数据基础，持续提升平台的智能和适应能力。
在这个职位中，你将领导场景理解团队的计算机视觉研究与开发。这包括从设计能够校准数百个摄像头的系统，到实现最先进的 3D 重建方法和语义分割。
职责
- 领导负责校准包含数百个摄像头空间的场景理解系统的开发。
- 将最前沿的研究转化为可扩展、可维护的工程系统。
- 通过促进待办事项清单的细化、与利益相关者沟通以及与产品经理协作制定路线图，管理场景校准技术。
- 与其他技术部门紧密合作，在数百家门店中部署、监控和支持场景理解服务。
- 推广并严格执行软件开发和项目管理的最佳实践。
- 指导工程师并为创建协作的远程团队环境做出贡献。
- 跟踪最新的 AI 趋势和技术，评估其在当前和未来项目中的潜在应用。
所需资格
- 计算机科学或相关领域的学士或硕士学位
- 6 年以上软件工程师经验
- 精通 Python
- 具有使用 RESTful API 和 OpenAPI、gRPC 和 Protobuf 的实际经验，了解其设计最佳实践和常用库
- 具有与 AI 产品交互的实际经验
查看英文原文
AiFi is a spatial intelligence platform that helps businesses understand and operate physical spaces using real‑time AI. Built on a camera‑first, privacy‑conscious foundation, our platform transforms physical environments into actionable systems—improving operations, elevating customer experiences, and unlocking measurable business value. AiFi is building toward a future where the physical world is as searchable, observable, and understandable as the digital one.
Across grocery and convenience, venues, specialty retail, quick-service restaurants, and travel hubs, AiFi helps customers solve problems such as fraud prevention, out-of-stock and planogram optimization, 24/7 commerce enablement, no-line premium entry, omnichannel analytics, labor optimization, order accuracy, and frictionless access. With global deployments across diverse formats, AiFi is building a powerful real-world data foundation that continually improves the intelligence and adaptability of its platform.
In this role, you’ll lead the Scene Understanding Team’s computer vision research and development. This entails everything from designing systems capable of calibrating hundreds of cameras to implementing state-of-the-art 3D reconstruction methods and semantic segmentation.
AiFi is an equal opportunity employer committed to fostering an inclusive, diverse, and equitable workplace.
We do not discriminate on the basis of race, color, religion or belief, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, disability, or any other status protected by applicable law.
Responsibilities
- Lead the development of scene understanding systems responsible for calibrating spaces that contain hundreds of cameras.
- Translate state-of-the-art research into scalable, maintainable engineering systems.
- Manage ‘scene calibration’ technologies within the Scene Understanding Team by facilitating backlog refinements, communicating with stakeholders,,and collaborating on roadmaps with product managers.
- Work closely with other technology departments to deploy, monitor, and support Scene Understanding Services in hundreds of stores.
- Promote and enforce best practices in software development and project management.
- Mentor engineers and contribute to creating a collaborative remote team environment.
- Stay current with emerging AI trends and technologies to assess their potential applications in current and future projects.
Required Qualifications
- Bachelor's or master's degree in computer science or a related field
- 6+ years of experience as a Software Engineer
- Extensive experience in Python
- Proven experience working with RESTful APIs and OpenAPI, gRPC, and Protobuf, with knowledge of their design best practices and common libraries
- Proven experience interfacing with AI projects, with a focus on computer vision and geometry
- Proven experience in production.
- Excellent leadership, communication, and management skills
Additional Qualifications (desired)
- Experience with asynchronous processes and event-driven architectures
- Experience with containerized applications, Kubernetes and Docker
- Experience with Azure
- Experience with multi-view stereo technologies (turning images into 3D), such as Colmap
- Experience with SLAM or Structure from Motion
- Experience in a fast-paced, product-driven startup environment
- Experience with Golang
- Experience in the autonomous retail industry or a similar domain
- Experience in MLOps, DevOps, and build/release/deployment automation.