Junior Research Engineer in Recommendation 初级推荐算法工程师

Qualifications

• Experience: Master degree or above. 1+ year experience of practical algorithm design and implementation in recommendation or machine learning related fields are preferred
• Knowledge: Solid mathematics, computer and machine learning background. Solid knowledge and hands-on experiences in big data processing and parallel computing frameworks such as Hadoop and Spark. Experiences in streaming computation such as Storm or Spark streaming is a plus.
• 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 a short time and apply to solve practical problems. 
• Motivation: Passion for applied research and new technology, open to interdisciplinary work.
• Collaboration: Participated in at least 1 team project and played an important role to push the projects forward with others.
• Communication: Good communication skills, both verbal and written.

职责：

• 设计和开发推荐系统和机器学习算法，提高DisneyPlus Hostar内容播放量，提升用户活跃度与留存。
• 分析海量数据，提高内容理解以及用户画像的准确度。
• 迭代优化解决方案，持续提升推荐效果和系统性能。
• 配合产品设计，提高推荐算法在线上推荐和线下推送的可用性。
• 持续追踪推荐以及相关机器学习领域的前沿技术，用以解决实际问题。
• 与开发团队，产品团队以及设计团队紧密合作，营造良好的团队氛围。
• 积极参与国际一流学术会议，撰写Hotstar技术博客，提升团队知名度。

要求：

• 本科及以上学历。具有推荐或机器学习相关领域的应用算法设计和开发的经验者优先。
• 扎实的数学、计算机和机器学习背景
• 善于分析和解决问题，具有较强的逻辑思维和独立思考能力。
• 具有较强的学习意愿和能力，积极尝试新技术，并乐于探索跨领域的工作。
• 对应用研究有较强的兴趣，并乐于面对充满挑战性的问题。
• 良好的团队协作技能和沟通技能。