Staff Machine Learning Engineer, Ads Creative Effectiveness

Accountabilities:

• Architect and implement state-of-the-art generative workflows for advertising creative, moving beyond basic prompting to develop systems that preserve products, fonts, logos, and other critical brand assets using techniques such as IP-Adapters and LoRAs.
• Build end-to-end image and video editing capabilities, including smart cropping, inpainting, outpainting, resizing, and style transfer, while maintaining brand guidelines and creative quality.
• Fine-tune large language and vision-language models to better understand high-performing advertising aesthetics and creative patterns, incorporating feedback loops that connect ad performance metrics such as CTR and CVR to generation quality.
• Explore reinforcement learning approaches such as RLHF and RLPF to improve generative advertising systems based on performance and user feedback.
• Design and implement robust safety, compliance, brand-protection, and copyright safeguards, including filtering systems and human-in-the-loop escalation processes.
• Partner closely with Product, Sales, Policy, UX, and related Ads ML teams to integrate creative effectiveness capabilities into advertiser-facing tools and the broader ad delivery experience.
• Apply strong experimentation and quantitative methods to evaluate generative systems, optimize creative performance, and identify opportunities for measurable improvements in advertiser outcomes.

Requirements

• Deep hands-on machine learning expertise spanning areas such as tree-based models, neural networks, ranking systems, and particularly LLM/VLM fine-tuning and reinforcement learning approaches such as RLHF or RLPF for advertising applications.
• Strong quantitative and experimentation skills, including familiarity with uplift metrics, variance, minimum detectable effects, experimental design, and evaluation frameworks for generative systems.
• Solid understanding of advertising or marketplace dynamics, including auction mechanisms, advertiser challenges, revenue drivers, and the factors that influence campaign performance and retention.
• Demonstrated experience developing or leading ad creative technologies such as headline generators, image generators, creative pre-test models, or advertiser-focused editing workflows.
• Strong product and business judgment, with a bias toward action and the ability to operate effectively in ambiguous, fast-moving environments while turning complex technical challenges into practical solutions.
• Excellent communication skills, with the ability to explain sophisticated machine learning concepts, trade-offs, risks, and opportunities to executives, product leaders, and non-technical stakeholders.
• Experience working on brand safety, privacy, copyright, or compliance considerations within generative AI products is highly desirable.

Benefits

• Base salary range of $230,000–$322,000 USD, with final compensation determined by factors including skills, depth of experience, relevant credentials, role level, and location.
• Equity in the form of restricted stock units, with commission eligibility potentially available depending on the position offered.
• Comprehensive healthcare benefits, including medical, dental, and vision coverage.
• 401(k) retirement program with employer match.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave and family planning support.
• Gender-affirming care and mental health and coaching benefits.
• Global benefits designed to support professional development, caregiving, workspace needs, and overall well-being.
• Remote position available across the United States.
• Equal opportunity workplace committed to diversity, inclusion, accessibility, and reasonable accommodations throughout the employment process.