Staff Machine Learning Engineer - Recommendations - LLM & GenAI

About the position

We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps. You will be in the unique role of acting as a leader who can work seamlessly with modeling and engineering teams and can build and contribute to architecting a system that serves millions of users worldwide. As an engineering leader, you are excited about working in an environment that fosters innovation via prototyping, development, experimentation and productionization. You will bring the right balance between rapid feature iteration and building a common set of platforms and tools to move quickly in the future.

Responsibilities

• Architect, build and scale a recommendation system that powers a state of the art search & personalization experience to users across Max, HBO, Discovery+ and other WBD offerings
• Collaborate with other ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale
• Collaborate with data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion
• Use and build upon open-source cloud computing technologies
• Participate and support engineering leaders in strategic planning and demonstrate good judgment in setting and delivering against strategic goals for the team
• Mentor, influence engineers across organizations and lead by example with high quality examples of your work at the organization level
• Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers

Requirements

• 8+ years of industry experience, with 4+ years as tech lead experience (preferred)
• Deep practical knowledge of LLMs and GenAI in Recommendations. Productionalizing LLM based models, fine Tuning LLM models, LLM Evaluation
• Knowledge of large-scale distributed application architecture, design, implementation and performance tuning
• Good practical knowledge in modern machine learning lifecycle.
• 5+ years of programming experience using Python/Java with ability to rapidly prototype ideas and refine towards production.
• Ability to drive roadmap and directions of scalable production quality systems end-to-end.
• Excellent written and verbal communications skills, be comfortable presenting to large audiences
• Advanced degree (M.S., or Ph.D.), or equivalent industry experience in software engineering, computer science, machine learning or related fields
• Experience with one of the cloud platforms AWS/GCP/Azure
• Experience with CI/CD tools like GitHub Actions, Jenkins etc

Benefits

• Health insurance coverage
• Employee wellness program
• Life and disability insurance
• Retirement savings plan
• Paid holidays and sick time
• Vacation