Description:

We're looking for a research engineer in advertising who is comfortable working with multiple languages, frameworks, platforms and excited to participate in cutting-edge applied research in machine intelligence and machine learning applications. As a research engineer, you’ll be responsible for formulating industrial problems into research questions and thus performing research to innovate solutions for content understanding and filtering. If you’re excited to work with a group of friendly and experienced machine learning researchers to build the machine intelligence to support high-performance, high-availability, scalable services, this is likely the team for you. Responsibilities: Major contributor of continuous improvements in the quality of content understanding/filtering in Hotstar.Keep track of both industry and academic research trends in related areas, including but not limited to computer vision and machine learning.Participate in computer vision projects planning with product managers and the team based on data-driven investigation methods and industry trends.Propose, implement, test and verify algorithmic solutions for upcoming product features.Implement systems that combine machine learning and product design to continuously improve over time.Develop prototype, proof of concept, and demo systems to improve performance for current algorithms and architectures.Implement the video/image tagging, filtering, object recognition.Maintenance and troubleshooting the offline and online computer vision algorithms on product.Partner closely with other product teams across the organization to experiment with different algorithms and validate their effectiveness, while gaining knowledge of how ML works in all these products. Qualifications: Experience: Master degree or above. 1+ year experience of practical algorithm design and implementation in computer vision or machine learning related fields.Knowledge: Solid mathematics, computer and machine learning background. Solid knowledge and hands-on experiences in video/image processing, e.g. object detection/classification/tracking/recognition, video/image tagging, etc. Coding skills and experiences in Python/Java/Scala/R or other related programming languages.Problem Solving: Logical thinker with good problem solving and analytical ability to apply your mathematical, algorithmic and other expertise to solve real problems.Learning Ability: Strong ability to master new technology in short time and apply to solve practical problems. Motivation: Passion for applied research and new technology, open to interdisciplinary work.Collaboration: Participated at least 1 team projects and played an important role to push the projects forward with others.Communication: Good communication skills, both verbal and written.

职责：

作为Hotstar内容理解和过滤质量持续改善的重要贡献者

持续跟踪相关领域的业界和学界的研究动态，不限于计算机视觉和机器学习

基于数据驱动的调研方法以及业界动态，与产品经理和团队共同参与计算机视觉项目的规划

为产品特性提出、开发、测试和验证算法方案

搭建系统，将机器学习和产品设计相结合，并持续改进

开发原型、POC和演示系统来改善现有算法和架构的性能

对视频/图像标注、过滤、目标识别进行建模和开发

维护产品的离线和在线计算机视觉算法

和其他的产品团队紧密合作，实验不同的算法，验证其有效性