Lead Machine Learning Engineer
Job Posting Title: Lead Machine Learning Engineer Req ID: 10082117 Job Description: Disney Entertainment & ESPN Technology On any given day at Disney Entertainment & ESPN Technology, were reimagining ways to create magical viewing experiences for the worlds most beloved stories while also transforming Disneys media business for the future. Whether thats evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disneys 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 youd love working for Disney Entertainment & ESPN Technology Building the future of Disneys media business: DE&E Technologists are designing and building the infrastructure that will power Disneys media, advertising, and distribution businesses for years to come. Reach ... 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. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. About The Team & Role Engineering Services designs, builds, and sustains technology that powers DE&E Technologys worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Assurance, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security. As a Lead Data Engineer in the Data Platforms team, you will be partnering closely with the Engineering, Architecture, and Product teams to lead development for prediction and optimization engines for our data platforms. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms. If you are someone who is proactive, inquisitive, and innovative, this is a phenomenal role for you!
What You'll Do
Drive ground-breaking innovation and apply state of the art machine learning statistics and insights in a variety of areas to boost Hulu and Disney in every aspect of data platforms, including engagement forecasting and performance metrics Invent and iterate novel solutions to challenging platform related problems in fast turn around Develop scalable and efficient methods for large scale data analysis and model development. Build and experiment brand new algorithms and models e2e throughout production rollout and continuous optimization. Collaborate with engineering teams, program managers, and product managers in an open, and creative environment. Mentor team members, and guide their technical development Basic Qualifications BS or MS in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, Mathematics, or comparable field of study At least 7 years of working experience on large scale machine learning and statistics in leading internet companies. Solid understanding of ML technologies, models, mathematics and statistics. Deep understanding of statistical methods Proficient with Java, Python, Scala, large scale ML/DL platforms and processing tech stack. Passion for technology, open to interdisciplinary work and experience in building data-driven services and applications. Proven track record of thriving in a fast-paced, data-driven, collaborative environment is required.
Preferred Qualifications
Experience with feature store and MLOps Experience with Tensorflow, Kubeflow or Sagemaker Required Education BS or MS in mathematics, economics, computer science, or other technical field The hiring range for this position in Santa Monica, CA and Bristol, CT is $164,500 to $220,600 per year, in New York, NY and Seattle, WA is $172,300 to $231,100 per year, in San Francisco, CA is $180,200 to $241,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates 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. Job Posting Segment: Cross Business Groups Job Posting Primary Business: Shared Service-Data & Analytics - DNU Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: USA - CA - Market St, USA - CT - ESPN Building 5, USA - NY - 147 Columbus Ave, USA - WA - 925 4th Ave Date Posted: 2024-03-06 Learn more about us Apply Job! For more such jobs please click here!