Senior ML Engineer: Architect AI for Streaming Content

Socket.dev; San Jose (CA); Hybrid; USD 141,000 - 361,000; Full time

Job summary

Roku in California is seeking a Senior Machine Learning Engineer to design and ship next-generation ML products for the Content Platform, integrating Generative AI capabilities and vision models to improve content quality and user engagement.

You will bridge research and product, define an ambitious 3-year ML roadmap, translate it into 2-week delivery cycles, and partner with Product, Engineering, and Content Strategy.

Qualifications

• 10+ years of total experience in software/ML engineering.
• MS or BS in Computer Science, Mathematics, or a related quantitative field.
• Deep theoretical and practical understanding of Machine Learning.
• You understand the business of streaming and how ML directly impacts the bottom line.
• 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.
• Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools).

Responsibilities

• 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.

Skills

Machine Learning

Generative AI

Leadership

MLOps

Cloud Computing

Model Deployment

Education

MS in CS/Math/Quant field

BS in CS/Math/Quant field

Tools

PyTorch

TensorFlow

Spark

Job description

Roku in California is seeking a Senior Machine Learning Engineer to design and ship next-generation ML products for the Content Platform, integrating Generative AI capabilities and vision models to improve content quality and user engagement.

You will bridge research and product, define an ambitious 3-year ML roadmap, translate it into 2-week delivery cycles, and partner with Product, Engineering, and Content Strategy.