Staff Machine Learning Engineer, Ads Creative Effectiveness

📋 Description

• Architect and implement state-of-the-art pipelines for ad creative generation, including product
• Build editing capabilities for smart-crop, inpaint, outpaint, resize, and style-transfer while
• Adapt large vision-language models to understand 'winning' ad aesthetics and build feedback loops
• Engineer robust filtering and safety systems to ensure models never generate non-compliant, unsafe
• Collaborate with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities
• Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect

🎯 Requirements

• Hands-on experience with tree models, neural nets, ranking, and especially LLM/VLM fine-tuning
• Comfort with uplift metrics, variance, minimum detectable effects and experimentation setups for
• Understanding auction dynamics and advertiser pain points to create tools that drive revenue and
• Bias to action, comfort with ambiguity, and scrappiness
• Able to distill complex ML trade-offs for executives, product managers, and non-technical
• Prior work on ad creative tooling such as headline generators, image generators, pre-test models

🎁 Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits