Join Reddit as a Staff Machine Learning Engineer to build generative products for ad creative effectiveness in a fully remote role.
Posted by employer 1 day ago
First seen on Joblaze 9 hours ago
Last verified on the company career page 9 hours ago
Skills & Technologies
What you'll build
- Architect and implement pipelines for ad creative generation
- Build editing capabilities for advertisers
- Adapt large vision-language models for ad aesthetics
- Engineer filtering and safety systems
- Collaborate with cross-functional teams
Must have
- Hands-on experience with tree models and neural nets
- Experience with LLM/VLM fine-tuning
- Understanding of auction dynamics in ads
Nice to have
- Experience navigating brand-safety frameworks
- Prior work on ad creative tooling
AI in the day-to-day
Engineers will build generative products that leverage AI for ad creative effectiveness.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Staff Machine Learning Engineer will focus on developing advanced generative workflows and editing capabilities for ad creatives, ensuring compliance with brand guidelines. Key skills include expertise in large language and vision models, as well as experience with machine learning techniques like fine-tuning and reinforcement learning. This position is ideal for someone with a strong background in machine learning and advertising, particularly those who thrive in fast-paced environments. The team operates with a startup mindset, emphasizing collaboration across various departments to enhance ad performance.
Joblaze insights
- Listed today — first seen on Joblaze October 4, 2026. Last confirmed on Reddit's careers page October 4, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 53% of 34 comparable staff ai/ml roles in United States that list Machine Learning we track (median $222,716 across 14 companies). See Machine Learning salary trends
- Machine Learning appears in 17.6% of 267 comparable staff ai/ml roles in United States; Generative AI appears in 3.4% of 267 comparable staff ai/ml roles in United States.
Quick facts
- Is the Staff Machine Learning Engineer, Ads Creative Effectiveness role remote?
- Yes — Reddit lists this as a fully remote position.
- What's the salary range?
- Reddit lists $230,000–$322,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Generative AI, Image Editing, Large Language Models, Machine Learning, video editing.
- What seniority level is this role?
- Reddit targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Machine Learning Engineer, Ads Creative Effectiveness role at Reddit.
From the original posting
About the Role
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.
What we’re looking for:
- Deep ML Expertise: Hands-on experience with tree models, neural nets, ranking, and especially LLM/VLM fine-tuning & 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 create tools that drive revenue and retention.
- Startup Mindset: Bias to action, comfort with ambiguity, and scrappiness: ACE evolved from a startup acquisition and still moves fast.
- Communication Superpowers: Able to distill complex ML trade-offs for executives, product managers, and non-technical stakeholders alike.
- Prior work on ad creative tooling: Headline generators, image generators, pre-test models, editing flows for the advertiser.
Nice-to-have
- Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products.
Pay Transparency:
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
Standard company text repeated across Reddit's postings is omitted here.