Sr Machine Learning Engineer

Job Description

HBO Max is where storytelling takes center stage and where creatives find a home with the support and resources to do their best work, no matter the genre or format. Whatever the viewer wants to watch is front and center and more of what they crave is easily discovered. It is where our exclusive HBO Max Originals and iconic entertainment brands thrive, with HBO, Warner Bros., DC, Turner Classic Movies, Cartoon Network and more delivering the greatest array of series, movies and specials for audiences of all ages. The platform launched in the United States in May 2020 and introduced a lower priced, advertising-supported tier in June 2021. HBO Max began its global rollout launching in markets across Latin America and the Caribbean last summer, followed by its first European launches in the Nordics and Spain in the fall. Currently available in 46 countries, there are plans for continued expansion of HBO Max in 2022.

The Job

The Sr. Machine Learning Engineer will be part of a talented Machine Learning (ML) group focused on developing innovative machine learning algorithms, scalable ML systems, and HBO Max applications.

As a Sr. ML Engineer, you will focus on developing and deploying personalization and recommender systems, search, experimentation, audience, and content AI solutions to drive user experience and growth.

You will partner closely with product, engineering, content, marketing, and research stakeholders across WarnerMedia to identify ML opportunities, accelerate AI innovation, and ensure the delivery of impactful solutions for the business.

The Daily
• Work with data scientists, data engineers to design best-suited, robust, and scalable ML solutions and evaluate the deployed ML model's effectiveness.
• Write robust production-level code and engage in code reviews.
• Deploy ML model pipelines, scale through Big Data, optimize performance.
• Integrate with A/B test platform to experiment with multiple model variants.
• Enhance our machine learning infrastructure.
• Design and implement data pipelines and data quality controls.
• Raise the bar on SDLC and CI/CD practices.

The Essentials
• Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Masters degree or higher preferred).
• Has 3+ years of relevant and hands-on experience in Machine Learning Engineering with a track record of building high quality, scalable and robust ML solutions.
• Has strong experience in incrementally building big data product and production pipelines to support product functionalities, data and analytic functions.
• Is flexible and comfortable working in a dynamic team environment with a distributed organization and minimal process.
• Demonstrates strong problem-solving and interpersonal skills.
• Familiarity with following technologies and frameworks is essential:
• ML Technologies: Spark, MxNet, TensorFlow, Scikit-Learn
• AWS stack with a specific focus on the following solutions: EMR, Glue, Sagemaker, ECS/EKS, Lambda, CloudWatch
• Data stack: Snowflake, Grafana, SQS/Kafka/Kinesis
• Proficient in Python and OOP languages like Java
• ML model pipelines, orchestration frameworks, micro-services architecture
• Familiarity with data science techniques, hands-on experience with ML frameworks is a plus.
• Experience with recommender systems, search systems, or ad serving systems is a big plus.

Jobcode: Reference SBJ-d29nby-18-191-5-239-42 in your application.