The Lead Machine Learning Engineer will develop, implement, and maintain Hulu's recommendation and personalization algorithms.  Responsibilities include prototyping cutting-edge deep neural net algorithms, delivering production-level implementations at scale, improving business operations and KPIs, and leading a team of engineers.  The role requires strong collaboration with various teams and effective communication. This is an individual contributor role focused on content recommendations, setting the roadmap for algorithmic work and aligning with company objectives in personalization and content recommendation.

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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 <h4>Job Summary:</h4> 
 <div class="additional-field-value-razor">On any given day at Disney Entertainment &amp; ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.A few reasons why we think you’d love working for Disney Entertainment &amp; ESPN Technology<ul><li>Building the future of Disney’s media business: DE&amp;E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.</li><li>Reach &amp; Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.</li><li>Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment &amp; news. &nbsp;</li></ul>Our team is responsible for developing, implementing, and maintaining Hulu's recommendation and personalization algorithms. As part of this team, you will collaborate with Engineering, Product, and Data teams to apply machine learning techniques to achieve strategic personalization goals. This is an Individual Contributor role in content recommendations. You will be expected to lead recommendation and personalization algorithm research, development, implementation, and optimization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work — not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and content recommendation.Responsibilities:<ul><li>Developing and prototyping state-of-the-art Deep Neural Net algorithms for recommendation systems</li><li>Deliver a conceptual solution into production-level implementation &amp; operation at scale, for global user services</li><li>Quickly learn our complex streaming recommendation systems and deep dive into individual components &amp; systems as well as understand overall framework/architecture</li><li>Identify impactful opportunities to improve our business operations and develop practical solutions and plans to lift our business KPI’s.</li><li>Drive business decisions by data driven and pragmatic approach</li><li>Excellent written and oral communication skills</li><li>Leadership to technically guide a team of engineers and work collaboratively with peers to achieve goals with deadline.</li></ul>Experience with:<ul><li>7+ years of experience in developing highly scalable machine learning products</li><li>7+ years writing production-level, scalable Python codes</li></ul>Basic qualification:<ul><li>Strong proficiency in at least one of the following deep learning frameworks, TensorFlow, Pytorch</li><li>Experiences building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment</li><li>Track record from design to full production of effective recommendation systems.</li><li>Experience with cloud services in a production environment (particularly AWS)</li><li>Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)</li><li>Ability to articulate the usage and behavior of models and algorithms to both technical and non-technical audiences</li></ul>Preferred qualification:<ul><li>MS or PhD in statistics, math, computer science, or related quantitative field</li><li>Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance</li><li>Deep understanding in personalization challenges in homepage experience and proven records of developing effective solution</li></ul>Required Education:&nbsp;<ul><li>Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience</li></ul>#DISNEYTECH The hiring range for this position in New York, NY &amp; Seattle, WA is $172,300-$231,100 per year, in San Francisco, CA is $180,200.00 to $241,600.00 per year and in Los Angeles, CA is $164,500.00 to $220,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div>
 
 
 
 
 
 
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Lead Machine Learning Engineer, Personalization & Recommendations