Staff Machine Learning Engineer, Ads Creative Effectiveness
Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $230,000–$322,000 / yr
- Posted
- 2 days ago
- Freshness
- Confirmed live today
Market check
Salary context
How this pay compares to similar roles
This role pays more than 85% of similar roles. Most pay $205,818–$260,412 — the shaded band above. At the midpoint, this role pays about $276k versus about $233k for comparable roles.
Based on 240 similar postings.
Employer
About Reddit
Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.
Reddit currently has 81 open roles on FindRole.
Listed pay typically runs $216,700–$295,200 across 81 roles with salary data.
Most-posted roles
- Software Engineer 26
- Machine Learning Engineer 10
- Product Manager 7
- Data Scientist 6
- Backend Engineer 4
At a glance
TL;DR · Staff Machine Learning Engineer, Ads Creative Effectiveness
Staff Machine Learning Engineer, Ads Creative Effectiveness joins the Ads Creative Effectiveness team to build generative AI and predictive products for ad creative. This role focuses on developing advanced pipelines for image, video, and copy generation while ensuring brand asset preservation through techniques like IP-Adapters and LoRAs. You will build end-to-end editing capabilities such as smart-cropping, inpainting, and style-transfer, while fine-tuning large vision-language models using RLHF and RLPF based on performance metrics like CTR and CVR. The role requires expertise in neural networks, tree models, ranking, and experimentation with uplift metrics. You will also engineer safety layers to prevent non-compliant content. Key technical requirements include experience with LLM/VLM fine-tuning and ad creative tooling, all while solving the challenge of creating high-impact, brand-safe advertising tools within a fast-paced environment.
What does a Machine Learning Engineer earn in Remote?
Median $235875 from 46 postings across 17 companies.
What you'll do
- Architect and implement advanced pipelines for ad creative generation using IP-Adapters and LoRAs.
- Build image and video editing tools for smart-cropping, inpainting, outpainting, and style-transfer.
- Fine-tune large vision-language models using performance metrics like CTR and CVR to optimize ad aesthetics.
- Engineer robust filtering systems to ensure content is safe, compliant, and free of copyright infringements.
- Integrate generative AI capabilities into the Ad Manager UI and the ad delivery path.
- Develop tools that utilize advanced machine learning to drive advertiser revenue and retention.
What we're looking for
- Experience with tree models, neural networks, ranking, and LLM/VLM fine-tuning including RLHF/RLPF for ads.
- Expertise in building advanced generative workflows using techniques like IP-Adapters and LoRAs for asset preservation.
- Proficiency in designing image and video editing capabilities such as smart-cropping, inpainting, outpainting, and style-transfer.
- Ability to perform quantitative analysis including uplift metrics, variance, and minimum detectable effects for generative systems.
- Understanding of auction dynamics and advertiser pain points to create tools that drive revenue and retention.
- Experience with prior work on ad creative tooling like headline generators or pre-test models.
- Ability to communicate complex ML trade-offs to executive and non-technical stakeholders.
- Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products (preferred).
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