Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Information Technology Support Services · 1001 to 5000 Employees · San Jose, US
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV manufacturers and service operators.
Hiring: Engineering, Search & Recommendations
What employees say
+ Good pay and nothing else really
− Only maintenance work in India , hire to fire culture , felt like service based company, poor communication culture and direct layoff without feedback - unethical behavior.
More reviews on the company profile.
Interview experience · Senior Software Engineer
Recruiter reached out via linkedin. Had a really bad experience in the first technical round. You walk into an interview hoping for a fair conversation. What you get instead is someone on the other side trying to prove
Average difficulty · Bengaluru · 26 reports
More interview insightsJob description
Overview
Teamwork makes the stream work.
Responsibilities
- Define and own the roadmap for ML within the Content Platform, establishing a multi-year vision and translating it into iterative delivery cycles
- Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready
- Lead and grow a high-performing team of ML Engineers, including career development, performance management, and fostering a culture of rigorous experimentation
- Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals
- Champion a culture of incremental delivery, balancing long-term R&D with the need to ship measurable improvements to the production environment
- Integrate Generative AI capabilities and Vision Models to enrich content quality and user engagement
- Drive the development of a content knowledge platform that provides insights to downstream systems such as Search, Recommendations, Ads, and Voice
Qualifications
- 15+ years of total experience in software or ML engineering, with at least 5 years in a dedicated people management leadership role
- Deep theoretical and practical understanding of Machine Learning
- Understanding of the streaming business and how ML directly impacts business outcomes
- Ability to communicate complex model concepts to non-technical stakeholders as effectively as debating architecture with experienced engineers
- Proven track record of deploying large-scale ML models into production environments
- MS or BS in Computer Science, Mathematics, or a related quantitative field
Benefits
- At Roku, we don’t just use AI, we work with it. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact. Ideally, you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools.
Verify Engineering for this role
Free PRACTICE for Engineering adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Engineering free →Want match scores and deeper insight? Create a free candidate profile