Staff Machine Learning Engineer
2 weeks ago
Welcome to Warner Bros. Discovery, where innovation meets creativity. We're seeking a talented Machine Learning Engineer to join our team and help shape the future of our global streaming app, Max.
As a key member of our engineering team, you'll be responsible for building and scaling our recommendation systems, collaborating with data scientists and engineers to drive ML projects from conception to completion, and mentoring junior engineers to grow their skills.
Our ideal candidate has a strong background in large-scale recommender systems, distributed application architecture, and modern machine learning lifecycle. They're passionate about innovation, experimentation, and data-driven decision making, and have excellent written and verbal communication skills.
Join us in shaping the future of entertainment and technology, and discover the opportunities that await you at Warner Bros. Discovery.
Responsibilities:
- Architect and build scalable recommendation systems for Max and other WBD offerings
- Collaborate with ML/Ops engineers to develop and improve core components, infrastructure, and architecture
- Drive ML projects from conception to completion, working with data scientists, engineers, and product teams
- Use and build upon open-source cloud computing technologies
- Mentor and influence engineers across organizations, leading by example with high-quality work
- Participate in strategic planning and set goals for the team, demonstrating good judgment and leadership
Requirements:
- 8+ years of industry experience, with 4+ years as a tech lead
- Deep practical knowledge of large-scale recommender systems and modern machine learning lifecycle
- Knowledge of large-scale distributed application architecture, design, implementation, and performance tuning
- 5+ years of programming experience using Python/Java, with ability to rapidly prototype and refine ideas
- 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, or related fields
- Experience with cloud platforms (AWS/GCP/Azure) and CI/CD tools (GitHub Actions/Jenkins)
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