Manager, Machine Learning Engineering

Job Description

The Job

As the Manager, Machine Learning Engineering, you will grow and lead a team of talented Machine Learning engineers (MLE) and full stack engineers to develop scalable ML systems, and data science applications for HBO Max. You will be focused on developing and deploying large scale systems including customer lifecycle, and content AI solutions to drive informed decision making and improved customer experience.

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

The Daily
• Architect and develop robust engineering solutions that utilize machine learning algorithms to support marketing, content, and product initiatives.
• Manage project priorities and ensure timely delivery.
• Build and lead a world-class team of machine learning and full stack engineers.
• Be a hands-on leader and mentor the team in the latest machine learning technologies and processes.
• Partner closely with business and data science leadership for opportunity sizing and prioritizing product capabilities.
• Partner closely with platform and devops teams to have robust fault tolerant solutions and accelerate the learning cycle.
• Partner closely with downstream application teams to develop a flexible and resilient interface between ML products and downstream applications.
• Develop MLE and infrastructure roadmap, and educate both internal and external stakeholders at all levels to drive resourcing and implementation.
• Develop and evangelize engineering best practices for scoping, building, validating, deploying, and monitoring ML/AI products.

The Essentials
• Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Masters degree or higher preferred).
• 5+ years of work experience in developing engineering solutions for Machine Learning and Data Science applications with a proven track record to drive innovation and business impacts
• 2+ years leading and growing high performance engineering teams.
• Familiarity with the practical aspects of machine learning is required.
• Familiarity with the following technologies and frameworks is required:
• 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
• Experience with Agile methodologies preferred
• Experience in deploying complex and large scale machine learning algorithms and advanced modeling solutions
• Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
• Strong communication skills and the ability to explain complex engineering systems to non-technical audience
• Works effectively with cross functional teams to build trusted partnership

Jobcode: Reference SBJ-gx729o-18-119-131-72-42 in your application.