FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Staff Machine Learning Engineer – Platform, Production
Warner Bros. DiscoveryStaff Machine Learning Engineer developing scalable MLOps pipelines and recommendation systems for Warner Bros. Discovery.
Posted 6/13/2026full-timeSan Francisco • California, Washington • 🇺🇸 United StatesLead💰 $132,300 - $245,700 per yearWebsite
Tech Stack
Tools & technologiesDistributed SystemsJavaPython
About the role
Key responsibilities & impact- Architect, build, and scale recommendation systems powering personalization and search experiences
- Design modular, scalable ML repositories built for rapid iteration, fast deployment, and production experimentation
- Establish coding standards, testing frameworks, code review workflows, and CI/CD pipelines
- Build infrastructure abstractions and components that allow seamless transition from model training to large-scale serving
- Collaborate with other ML engineers, data scientists and product managers to drive complex ML projects
- Partner with product and engineering leadership to define, plan, and deliver against long-term strategic goals
- Mentor and influence engineers across organizations by demonstrating high-quality work
Requirements
What you’ll need- 8+ years of industry experience
- 4+ years as tech lead experience (preferred)
- Deep practical knowledge in designing scalable, production-grade Search or Recommendation systems architecture
- Knowledge of large-scale distributed systems, architecture, APIs, and databases
- Solid practical understanding in modern machine learning lifecycle
- Staff level experience building production systems with expertise in Python/Java
- Hands-on experience with MLOps tools and frameworks (MLflow, Kubeflow, Sagemaker, etc)
Benefits
Comp & perks- Health insurance coverage
- Employee wellness program
- Life and disability insurance
- Retirement savings plan
- Paid holidays and sick time
- Paid vacation
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningrecommendation systemssearch systemsscalable architecturedistributed systemsAPIsdatabasesPythonJavaMLOps
Soft Skills
mentoringcollaborationinfluenceleadershipcommunicationplanningorganizationproblem-solvingcode reviewstandards establishment