Roblox
Senior
Roblox Senior ML Engineer, Ads — ad ranking from the ground up
Interview prep for Roblox's Senior Machine Learning Engineer role on the Ads team, building ranking and recommendation models for a performance-advertising platform that's still early-stage. Expect deep technical dives into large-scale recommendation/ranking systems, transformer-based modeling, and cross-team technical leadership. Strong prep for senior ML engineering interviews focused on ads/recommendation systems at scale.
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What this interview tests
- Large-scale ad ranking and recommendation model design
- Transformer-based model training, inference, and product integration
- ML system design under real production constraints (latency, scale, serving)
- Cross-team technical leadership and decision-making
- Translating research ideas into shippable, business-impacting features
Common question themes
Design a large-scale ad ranking or recommendation model — walk through the full pipeline
Tell me about a transformer-based model you took from training to production
Describe a hard technical decision you drove across multiple teams or orgs
How do you balance research exploration with shipping practical improvements
How do you evaluate whether an ML change actually improved ad performance or advertiser value
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