Staff Machine Learning Engineer
| Company | Warner Bros. |
|---|---|
| Location | Seattle, WA, USA, San Francisco, CA, USA, New York, NY, USA |
| Salary | $145600 – $270400 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- 8+ years of industry experience, with 4+ years as tech lead experience (preferred)
- Deep practical knowledge of Search systems, with information retrieval and ranking algorithms is required, experience with NLP techniques is a plus.
- 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.
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 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
Preferred Qualifications
- 4+ years as tech lead experience (preferred)