Job Description
We're looking for a principal researcher in recommendation 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 senior researcher, you’ll be responsible for formulating industrial problems into research questions and thus performing research to innovate solutions for personalization and content discovery. 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.
Responsibility
- Key contributor of continuous improvements of the personalized experiences in Hotstar. Boost our users engagement and retention by fully utilizing Disney & Hotstar 's catalog.
- Manage recommendation projects, define engineering roadmaps and drive the technical solutions.
- Gain deep insight of our product and metrics, discover and revise the objectives of personalization, and participate in the long-term plan of the personalization team.
- Partner closely with the data analytics team, product team, and other teams to establish effective cross-team communications and cooperation.
- Design and build high-efficiency and high-quality recommendation systems through deep-learning algorithms. Monitor, maintain and improve the performance continuously over time.
- Apply state-of-the-art algorithms to real-world problems in multiple scenarios, e.g on-site recommendation, off-site notification and internationalization.
- Apply state-of-the-art algorithms to real-world problems in multiple scenarios, e.g on-site recommendation, off-site notification and internationalization.
- Identify and abstract the key objectives, factors and processes of recommendation engine, enrich recommendation and machine learning platforms and infrastructures.
- Keep track of both industry and academic research trends in related areas, including but not limited to recommendation, machine learning and distributed computation.
Qualifications
- 5+ industry experience of practical algorithm design and implementation in recommendation or machine learning related fields
- Ability and experiences to lead or drive engineering projects related to recommendation or machine-learning.
- Strong understanding of recommendation models and other related machine learning techniques from both industry and academia. Abundant mathematics and statistics background.
- Extensive knowledge and hands-on experiences in big data processing frameworks such as Hive, Spark. Experiences in streaming-related computation such as Kafka, Flink or Spark streaming is a plus.
- Solid coding and engineering skills in Python/Java or other related programming languages . Rich experiences with deep-learning frameworks, such as Tensorflow.
- Logical thinker and quick learner with strong problem solving and analytical ability to apply your mathematical, algorithmic and other expertise to solve real problems.
- Passion for applied research, open to interdisciplinary work
- Strong communication skills, both in verbal and written English.
Company Info.
Disney+ Hotstar
Disney+ Hotstar today is the one-stop destination for all your entertainment needs - from Live Sports, Indian and International Shows and Movies to all Disney content, including Pixar, Marvel, Star Wars, National Geographic and Disney+ Originals. We’re looking for the brightest minds to build the future of TV with us.
We believe there are only two ways to realize our goals – by daring or daring more.
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Industry
Media
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No. of Employees
500
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Location
Lower Parel West, Lower Parel, Mumbai, Maharashtra 400013, IN
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Website
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