Senior Machine Learning Engineer
Job Description
Warner Bros. Discovery is seeking a Senior Machine Learning Engineer to join their AI/ML organization, focusing on video AI applications. This role is part of the Machine Learning Engineer – Services group, which powers infrastructure and backend services behind production workflows. The position involves working with cutting-edge ML technologies, including Vision-Language Models, CNNs, and Embedding Generation models, to build reusable components and services for video understanding, summary, and classifications.
The ideal candidate will have extensive experience in ML engineering, with expertise in model deployment, distributed computing, and ML infrastructure. You'll be responsible for building and maintaining model training pipelines, managing production workflows at scale, and implementing sophisticated evaluation frameworks. The role offers an opportunity to work with state-of-the-art ML technologies while solving complex problems in video understanding and processing.
Warner Bros. Discovery offers a comprehensive benefits package including health insurance, retirement plans, and various incentives. The company values diversity and inclusion, operating under clear guiding principles that foster innovation and collaboration. This position provides an excellent opportunity to work at the intersection of entertainment and artificial intelligence, helping to shape the future of content delivery and analysis.
The role offers competitive compensation, with a salary range of $132,300 to $245,700 per year, plus additional benefits and bonuses. You'll be working in a hybrid environment across multiple possible locations, including New York, San Francisco, Atlanta, and Bellevue, allowing for flexibility while maintaining collaborative opportunities with global teams.
Responsibilities For Senior Machine Learning Engineer
- Build and maintain pipelines for model fine-tuning and retraining
- Integrate and maintain vector search services and semantic similarity infrastructure
- Design scalable model serving solutions for open-source and foundation models
- Develop systems for experiment tracking, model versioning, and evaluation
- Monitor production models for drift and performance degradation
- Manage compute cost and resource optimization across distributed training jobs
- Integrate Human-in-the-Loop workflows and offline labeling into training pipelines
- Support model deployment for varied model architectures
- Architect and implement RAG pipelines for video metadata, summarization, and Q&A
- Build evaluation frameworks to assess LLM performance
Requirements For Senior Machine Learning Engineer
- 5+ years of experience in machine learning engineering
- Strong background in model retraining, fine-tuning, and evaluation techniques
- Experience deploying and managing open-source model servers
- Proficient in managing cost-effective distributed computing environments
- Familiar with experiment tracking tools and model versioning strategies
- Deep understanding of ML domains including NLP, RecSys, and reinforcement learning
- Experience with real-time inference systems and streaming data pipelines
- Familiarity with labeling tools, HITL workflows, and offline data curation strategies
- Comfort working in Agile development environments and collaborating across global teams
Benefits For Senior Machine Learning Engineer
- Health insurance coverage
- Employee wellness program
- Life and disability insurance
- Retirement savings plan
- Paid holidays
- Sick time
- Vacation
- Annual bonuses
- Short and long-term incentives
