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# Staff Machine Learning Engineer

- **Company:** reddit Inc.
- **Location:** United States
- **Salary:** $230,000.0 - $322,000.0
- **Contract:** Permanent contract
- **Skills:** Ad Management, Artificial Neural Networks, Language Modeling, Performance Tuning, Video Editing, Large Language Models, Generative AI, Build Tools
- **Published:** October 3, 2026
- **Apply:** https://job-boards.greenhouse.io/reddit/jobs/8250389

## About the Role

* Deep ML Expertise: Hands-on experience with tree models, neural nets, ranking, and especially LLM/VLM fine-tuning & RLHF/RLPF for ads.

## Description

Reddit's Ads Creative Effectiveness team sits at the heart of our creative strategy, building GenAI and predictive products that help advertisers ship high-impact campaigns. We are searching for a Staff engineer with in-depth GenAI expertise that can help us build the future of generative products for ad creative at Reddit - best-in-class image, video and copy generators that leverage Reddit's best practices, performance-guided generations that maximize clicks and conversions, and brand safe, product preserving image/video editing pipelines.

What you'll do:

 * Advanced Generative Workflows: Architect and implement state-of-the-art pipelines for ad creative generation. You will move beyond vanilla prompting to build systems capable of product, font, logo and brand asset preservation using techniques like IP-Adapters, and LoRAs.
 * End-to-End Image & Video Editing: Build editing capabilities allowing advertisers to smart-crop, inpaint, outpaint, resize, and style-transfer assets while maintaining strict brand guidelines.
 * LLM/VLM Fine-Tuning: Adapt large vision-language models to understand "winning" ad aesthetics. You will build feedback loops where ad performance metrics (CTR, CVR) are used to fine-tune the generation process (RLHF/RLPF for Ads).
 * Safety & Compliance Layer: engineer robust filtering and safety systems. You ensure our models never generate non-compliant, unsafe, or copyright-infringing content.
 * Partner Broadly: Collaborate with Product, Sales, Policy, UX, and sibling 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.