🛠 Tech Stack

💼 About This Role

You'll lead the development of ranking and personalization systems for Roku's entertainment assistant, powering AI-powered discovery experiences across the platform. You will design large-scale ML models optimizing for engagement, retention, and monetization. This role sits at the intersection of Search, Recommendations, and Conversational Discovery.

🎯 What You'll Do

• Lead technical vision for ranking and personalization systems
• Develop ML models using deep learning, transformers, LLMs, and reinforcement learning
• Build multi-objective optimization systems for engagement, retention, and monetization
• Design and analyze online A/B experiments tied to product KPIs

📋 Requirements

• 8+ years of industry experience (or PhD with 5+) applying ML at scale in search or recommendation
• Strong expertise in ranking systems, recommendation, and multi-objective optimization
• Experience building large-scale ML systems with deep learning, LLMs, or reinforcement learning
• Proficiency in Python, Java, or Scala

✨ Nice to Have

• Experience with distributed systems (Spark, Airflow, feature stores)
• Strong product intuition for user engagement and monetization
• MS or PhD in Computer Science or related field

🎁 Benefits & Perks

• 🏥 Health Insurance (medical, dental, vision)
• 📈 Equity Awards
• 👶 Parental Leave
• 🧠 Mental Health & Financial Wellness Support
• 🏖️ Paid Time Off

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Interview· 60 min
3. 3On-site Interviews (System Design, ML Deep Dive, Behavioral)· 4 hours