🛠 Tech Stack

💼 About This Role

You'll apply and conduct research to build SOTA deep learning discriminative and generative models for advertising optimization. You'll drive conversion modeling, attribution, and forecasting to solve complex challenges across Roku's ad ecosystem. This role offers the chance to publish and work at the forefront of ML research.

🎯 What You'll Do

• Build SOTA deep learning discriminative models for conversion modeling
• Develop generative models for image and video ad generation
• Stay at the forefront of deep learning advancements

📋 Requirements

• PhD in quantitative discipline (CS, Statistics, Applied Math)
• 8+ years applied research experience in statistical/deep learning
• Published papers on deep learning for Advertising or related areas

✨ Nice to Have

• Experience in the Advertising domain
• Contributions to open-source ML projects

🎁 Benefits & Perks

• 🏖️ Flexible Fridays (remote on Fridays after Monday-Thursday in office)
• 🏥 Healthcare (medical, dental, vision)
• 💰 401(k)/pension retirement options
• 🧠 Mental health and financial wellness support
• 🚗 Commuter benefits

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Interview· 60 min
3. 3On-site Interviews (3-4 rounds)· 4 hours

🚩 Heads Up

• PhD required despite Senior title and 8+ years experience