Staff Machine Learning Engineer, Ads Creative Effectiveness

Reddit, Inc.

. Architect and implement state-of-the-art pipelines for ad creative generation .

Posted 10/2/2026full-timeRemote • United StatesLead💰 $230,000 - $322,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing advanced ad creative generation pipelines, with a strong focus on fine-tuning large vision-language models and integrating brand-safety measures. Proficient in utilizing metrics and experimentation setups to optimize generative systems for advertising effectiveness.

Highest-signal resume keywords

LLM/VLM Fine-TuningReinforcement Learning from Human Feedback (RLHF)Image and Video Editing CapabilitiesAd Creative Tooling ExperienceBrand-Safety and Copyright Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Tree ModelsNeural NetworksRanking AlgorithmsGenerative Systems ExperimentationSmart-CroppingInpaintingOutpaintingStyle TransferCTR and CVR MetricsAd Aesthetics Understanding

Soft Skills

CollaborationComplex Problem DistillationCommunication with Non-Technical Stakeholders

Tools & Technologies

IP-AdaptersLoRAsAd Manager UI

Industry Keywords

Ad Creative GenerationBrand Asset PreservationFeedback LoopsAuction DynamicsAdvertiser Pain PointsPrivacy Frameworks

About the role

Key responsibilities & impact

Architect and implement state-of-the-art pipelines for ad creative generation
Build systems for product, font, logo, and brand asset preservation using techniques such as IP-Adapters and LoRAs
Build image and video editing capabilities for smart-cropping, inpainting, outpainting, resizing, and style transfer
Fine-tune large vision-language models to understand effective ad aesthetics
Build feedback loops using CTR and CVR metrics to fine-tune generation through RLHF/RLPF for ads
Engineer filtering and safety systems to prevent non-compliant, unsafe, or copyright-infringing content
Collaborate with Product, Sales, Policy, UX, and Ads ML teams
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

What you’ll need

Hands-on experience with tree models, neural nets, ranking, and especially LLM/VLM fine-tuning and RLHF/RLPF for ads
Comfort with uplift metrics, variance, minimum detectable effects, and experimentation setups for generative systems
Understanding of auction dynamics and advertiser pain points
Ability to distill complex ML trade-offs for executives, product managers, and non-technical stakeholders
Prior work on ad creative tooling, including headline generators, image generators, pre-test models, or advertiser editing flows
Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products (nice-to-have)

Benefits

Comp & perks

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Equity in the form of restricted stock units
Potential commission, depending on the position offered
Medical, dental, and vision insurance
Opportunity to opt out of interview recording, transcription, and summarization