将辅助驾驶、无人驾驶中遇到的各种问题形式化为计算机视觉的问题，并采用深度学习的方法解决上述计算机视觉的相关问题，包括不限于目标检测、目标跟踪、图像分类、场景分割等等。
招聘要求：
本科以及以上学历，有计算机视觉、模式识别、机器学习、图像处理等相关方向研究背景，有视觉算法产品开发经验，深入理解目标检测、特征点定位、目标跟踪主流算法，了解Boosting，SVM及深度学习相关分类算法。具备相关扎实的理论基础，在相关领域发表过学术论文者优先。
熟练使用Matlab，C/C++和Linux，代码经验丰富，熟练使用一种或几种深度学习架构；
良好的英文读写能力；
工作时间：
灵活的办公方式，允许并支持远程办公，允许弹性工作制，以任务为导向，对实习生不要求全勤出席。
项目背景：
1. Revamping payments infrastructure.
2. Integrating our software with Twilio, Olympic timing equipment, and equestrian organizations.
3. Feed ordering & scheduling improvements.
4. Converting core features into a basic mobile app.
5. Financial Tooling.
岗位职责：
● Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
● Develop new features and infrastructure in support of rapidly emerging business and project requirements
● Assume leadership of new projects, from conceptualization to deployment
● Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design
● Participate in all aspects of software development, including design, implementation, and deployment
● Architect and provide guidance on building end-to-end systems optimized for speed and scale
职位要求：
1、6年 或 6 年 以上工作经验
2、大学本科或以上
3、熟练英语和口语
4、熟练掌握Django (Python)
5、熟悉React / Javascript
