Staff Machine Learning Engineer, Ads Creative Effectiveness
Reddit · Remote - United States
About this role
**Staff Machine Learning Engineer — Ads Creative Effectiveness (Reddit)** ## About the Role Reddit’s **Ads Creative Effectiveness (ACE)** team builds GenAI and predictive products that help advertisers ship high-impact campaigns. We’re looking for a **Staff engineer** with deep **GenAI** expertise to help build the future of generative ad creative at Reddit—covering **image, video, and copy generation**, **performance-guided generation** (to maximize clicks and conversions), and **brand-safe, product-preserving editing pipelines**. ## What you’ll do - **Advanced Generative Workflows:** Architect and implement state-of-the-art pipelines for ad creative generation, including systems for **product, font, logo, and brand asset preservation** (e.g., **IP-Adapters** and **LoRAs**). - **End-to-End Image & Video Editing:** Build editing capabilities for advertisers such as **smart-crop, inpainting, outpainting, resizing, and style transfer**, while maintaining strict brand guidelines. - **LLM/VLM Fine-Tuning:** Adapt large vision-language models to understand **winning ad aesthetics**. Build feedback loops using performance metrics like **CTR** and **CVR** to fine-tune generation (**RLHF/RLPF for Ads**). - **Safety & Compliance Layer:** Engineer robust filtering and safety systems to prevent **non-compliant, unsafe, or copyright-infringing** content. - **Partner Broadly:** Collaborate with **Product, Sales, Policy, UX**, and other **Ads ML** teams to integrate ACE capabilities into the **Ad Manager UI** and the ad delivery path. - **Guardrails & Safety:** Embed **brand-safety filters**, **copyright checks**, and **human-in-the-loop** escalation paths to protect users and advertisers. ## What we’re looking for - **Deep ML Expertise:** Hands-on experience with ML systems (e.g., tree models, neural nets, ranking), especially **LLM/VLM fine-tuning** and **RLHF/RLPF for ads**. - **Quant & Experimentation Chops:** Comfort with **uplift metrics**, **variance**, **minimum detectable effects**, and experimentation setups for generative systems. - **Ads / Marketplace Insight:** Understanding auction dynamics and advertiser pain points to build tools that drive revenue and retention. - **Startup Mindset:** Bias to action, comfort with ambiguity, and scrappiness—ACE evolved from a startup acquisition and moves fast. - **Communication Superpowers:** Ability to clearly explain complex ML trade-offs to executives, product managers, and non-technical stakeholders. - **Prior work on ad creative tooling:** Headline generators, image generators, pre-test models, and/or editing flows for advertisers. ## Nice-to-have - Experience navigating **brand-safety, privacy, or copyright** frameworks in generative AI products. ## Benefits - Comprehensive **Healthcare Benefits** and **Income Replacement Programs** - **401k** with employer match - Global benefit programs (workspace, professional development, caregiving support) - **Family Planning Support** - **Gender-Affirming Care** - **Mental Health & Coaching** benefits - **Flexible Vacation** and **Paid Volunteer Time Off** - **Generous Paid Parental Leave** ## Pay Transparency (US) - **Base salary range:** **$230,000 — $322,000 USD** - This role may also be eligible for **equity (RSUs)** and, depending on position, **commission**. ## Interview Recording Notice In select roles and locations, interviews may be recorded, transcribed, and summarized by AI. You can opt out prior to scheduled interviews. Reddit is an e
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