Senior Machine Learning Engineer (Content Platform)

• Vision & Strategy: Define the roadmap for ML within the Content Platform
• Technical Leadership: Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready
• Cross-Functional Execution: Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals
• Delivery: Champion a culture of incremental delivery. Balance long-term R&D with the need to deliver measurable improvements to the production environment

Benefits

• Medical, wellness and financial benefits
• Free snacks and access to the company fitness center
• Unlimited paid time off policy
• Work from home opportunities- You understand the business of streaming and how ML directly impacts the bottom line
• Deep theoretical and practical understanding of Machine Learning
• Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools)
• You can explain complex models to a non-technical executive just as easily as you can debate architecture with a seasoned engineer
• Proven track record of deploying large-scale ML models into production environments
• MS or BS in Computer Science, Mathematics, or a related quantitative field
• 10+ years of total experience in software/ML engineering