Staff Machine Learning Engineer, Ads Creative Effectiveness

Details

Reddit’s Ads Creative Effectiveness team builds GenAI and predictive products that help advertisers create high-impact campaigns. The team is developing image, video, and copy generators; performance-guided generation systems that maximize clicks and conversions; and brand-safe, product-preserving image and video editing pipelines.

Responsibilities

• Architect and implement state-of-the-art pipelines for ad creative generation.
• Build systems capable of preserving products, fonts, logos, and brand assets using techniques such as IP-Adapters and LoRAs.
• Develop image and video editing capabilities, including smart cropping, inpainting, outpainting, resizing, and style transfer, while maintaining strict brand guidelines.
• Fine-tune large language models and vision-language models to understand effective ad aesthetics.
• Build feedback loops that use ad performance metrics such as click-through rate (CTR) and conversion rate (CVR) to fine-tune the generation process through RLHF/RLPF for ads.
• Engineer robust filtering and safety systems to prevent non-compliant, unsafe, or copyright-infringing content.
• Collaborate with Product, Sales, Policy, UX, and other Ads ML teams to integrate Ads Creative Effectiveness capabilities into the Ad Manager UI and ad delivery path.
• Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths.

Requirements

• Hands-on experience with tree models, neural networks, ranking, and especially LLM/VLM fine-tuning and RLHF/RLPF for advertising.
• Comfort with uplift metrics, variance, minimum detectable effects, and experimentation setups for generative systems.
• Understanding of auction dynamics and advertiser pain points, with the ability to create tools that drive revenue and retention.
• Bias to action, comfort with ambiguity, and a scrappy startup mindset.
• Ability to explain complex machine learning trade-offs to executives, product managers, and non-technical stakeholders.
• Prior experience with ad creative tooling, such as headline generators, image generators, pre-test models, or advertiser editing flows.

Nice to Have

• Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products.

Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401(k) with employer match.
• Global benefit programs supporting workspace, professional development, and caregiving.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.

Compensation

The base salary range for this position is $230,000–$322,000 USD. The position is also eligible to receive equity in the form of restricted stock units and may be eligible to receive a commission depending on the position offered. Final offer amounts depend on factors including skills, depth of work experience, and relevant licenses or credentials.