Spectrum - Los Angeles, CA

posted 4 months ago

Full-time - Senior
Los Angeles, CA
Telecommunications

About the position

Warner Bros. Discovery is seeking a passionate Machine Learning Engineer to join our team and play a pivotal role in building and scaling the Direct-to-Consumer (DTC) personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming applications. In this unique position, you will act as a leader who collaborates seamlessly with modeling and engineering teams to architect a system that serves millions of users worldwide. You will thrive in an environment that fosters innovation through prototyping, development, experimentation, and productionalization. Your role will require a balance between rapid feature iteration and the establishment of a common set of platforms and tools to facilitate quick advancements in the future. As a Machine Learning Engineer, you will be responsible for architecting, building, and scaling a recommendation system that powers a state-of-the-art search and personalization experience for users across Max, HBO, Discovery+, and other Warner Bros. Discovery offerings. You will collaborate with other ML/Ops engineers to develop and enhance core components, infrastructure, and architecture necessary for training, deploying, and serving models at scale. Your collaboration will extend to data scientists, engineers, product teams, and other key stakeholders, driving machine learning projects from conception to completion. In addition to technical responsibilities, you will participate in strategic planning alongside engineering leaders, demonstrating good judgment in setting and delivering against strategic goals for the team. Mentorship is a key aspect of this role, as you will influence engineers across organizations and lead by example with high-quality work. You will motivate and inspire your team, fostering a culture of experimentation and data-driven innovation while advocating for the best interests of our customers.

Responsibilities

  • Architect, build and scale a recommendation system for a state-of-the-art search & personalization experience.
  • Collaborate with ML/Ops engineers to develop and improve core components, infrastructure, and architecture for model training, deployment, and serving.
  • Drive ML projects from conception to completion in collaboration with data scientists, engineers, and product teams.
  • Utilize and build upon open-source cloud computing technologies.
  • Support engineering leaders in strategic planning and deliver against strategic goals for the team.
  • Mentor and influence engineers across organizations, leading by example with high-quality work.
  • Create a culture of experimentation and data-driven innovation.

Requirements

  • 8+ years of industry experience, with 4+ years as a tech lead (preferred).
  • Deep practical knowledge of large scale recommender systems or large scale ML ranking/retrieval/targeting systems.
  • 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 the ability to rapidly prototype ideas and refine towards production.
  • Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
  • Excellent written and verbal communication skills, 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
  • Sick time
  • Vacation
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