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Software Developer - Big Data (Marketing Intelligence)

Full-Time at Hulu Beijing Req ID: P001212-R0010041

Drive the Experience

As a member of our lean and agile tech teams, you'll be one of the people driving the experience, connecting viewers with the stories they love. Whether they're watching on desktop, on mobile, or in the living room, we're perfecting every line of code so our viewers' experience is unparalleled. Here you can work through the full life cycle of development utilizing the latest and greatest tech. And your work and efforts will actually be seen and enjoyed by our viewers — from the Oscars to the Super Bowl and countless streaming hours in between.

Darshana Hulu Santa Monica Darshana
I feel proud to be a part of continuing to evolve our successful product and seeing it change over the last five years.

The part you’ll play and
preparation for your role.

Hulu is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, Hulu has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we're looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what Hulugan life is all about.


The MI (Marketing Intelligence) team is a comprehensive technical team in Hulu Beijing to support and optimize company-level marketing activities based on multi-purpose, multi-channel targeting on top of extensive user data. Its members include data and backend engineers, researchers, algorithm engineers, and quality assurance engineer. Our mission is to use data and machine learning algorithms to improve marketing accuracy and conversion rate, and to achieve intelligence and refinement in the entire user management life cycle of customer acquisition, conversion, interaction, and retention, operation and finally increase user viscosity, reduce the cost of marketing activities, thus achieve both user and profit growth.

Our optimization goal is: "Deliver the right information to the right users at the right time, through the right channels." In order to achieve this goal, we need to ensure that our data platform can provide stable, real-time and high-performance data support, and through batch and streaming processing, we can quickly respond to new data requirements. With the support and drive of data, algorithm engineers and researchers combine industry experience to research, apply and design industry-leading machine learning models to achieve accurate user portraits and personalized content recommendations. And business needs such as accurate prediction of user behavior trends, to achieve intelligent marketing strategies and behaviors. In short, we hope that under the background of the rapid growth of data volume, we can raise Hulu's market operation level to a new level by introducing advanced technologies and ideas in the industry.

What you’ll do

  • Work on large scale data processing and analysis to provide insights to improve the efficiency of Hulu’s business
  • Exposed to both in-house and AWS big data infrastructure
  • Develop, scale, and improve the data pipeline/analytics/BI/User persona system.
  • Participate in the design, architecture, and implementation of a data-engineering infrastructure
  • Advocate engineering best practices, including use of design patterns, code review and automated unit/functional testing
  • Continuously optimize service response time, address challenges such as improving service availability and scalability
  • Collaborate with program managers and product managers, researchers, and marketers in an open, creative environment

What to bring

  • BS or MS degree in CS related major.
  • Professional programming and design experience in Java/Scala/Python and Linux.
  • Experience with processing large amounts of data at petabyte level with Hadoop ecosystem.
  • Ability to independently investigate, debug and tackle problem.
  • Superb communication and collaboration skill.
  • Experiences on CRM / user persona related work.
  • Working experience requirement 0-4 years. 

Our Hiring Process

  • Explore life at Hulu

    Thanks for stopping by to get an inside scoop on our products and culture. Once you get a taste of the Hulu way of life, take some time to browse our open jobs to see where your expertise, interests, and experience align! We are so excited to see what you bring to the table.

  • Up next on your journey

    You applied to one of our roles and it looks like you might be a fit. As a next step, prepare to discuss your background, goals, and aspirations with a recruiter or team member.
    They will also be ready to answer all of your questions about Hulu and the role. If you aren't a fit this time, keep an eye on our open roles for the next opportunity that might be a match.

  • Meet the team

    Log on and meet the team virtually. With Hulu focused on keeping candidates and employees safe, we are conducting all interviews through video conferencing technology, and we are leveraging digital collaborative tools to ensure the experience is thorough and positive.
    The video interview is typically the final stage of the process and your chance to leave a lasting impression through your enthusiasm, preparation, abilities, and resume.

Just like the best ensemble casts of our favorite shows,
Hulu embraces diversity and is proud to be an Equal Opportunity Employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, in accordance with applicable federal, state, and local law. Hulu is committed to providing reasonable accommodations to applicants if needed during the interview process.

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