Staff Machine Learning Engineer, Ads Creative Effectiveness

Reddit·Remote - United StatesRemote

In short

→Ingeniero de ML de nivel Staff especializado en generación de creativos publicitarios con IA generativa.
→Diseña pipelines avanzados de generación de imágenes, videos y texto, con enfoque en marca, rendimiento y seguridad.
→Destaca por integrar RLHF/RLPF con métricas de campaña para optimizar creativos en tiempo real.

Fluency in English required for collaboration with global teams.

✓ Free to start✓ Runs in your browser✓ First dossier, no card✓ Ready in ~1 minute

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Your first dossier is free.

The questions they'll ask you

1. ¿Cómo diseñarías un pipeline de fine-tuning con RLHF para mejorar el CTR de creativos de video usando VLMs?

🔒 +7 more questions

No card. Upload your resume and the full dossier is ready in ~1 minute.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

💵 USD · Remote · No visa

Not finding what you want? Try Micro1

Micro1 places engineers directly at US companies paying in USD. One vetting, multiple offers — no cold applying.

Get matched by Micro1 →

📬Jobs picked for YOUR resume, every morning on WhatsApp. Free: text “vacantes” and the bot sends your daily matches. Subscribe →

What they ask for

✓Experiencia sólida en fine-tuning de LLM/VLM y RLHF/RLPF para publicidad.
✓Conocimiento profundo de pipelines de generación de imágenes y videos con preservación de marca.
✓Habilidades en experimentación con métricas de impacto (CTR, CVR) y uplift.
✓Experiencia previa en herramientas de creativos publicitarios o sistemas generativos.
✓Capacidad para comunicar decisiones técnicas a equipos no técnicos.
✓Familiaridad con dinámicas de subastas y necesidades de anunciantes.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

LLMVLMIP-AdapterLoRARLHFRLPFImage GenerationVideo GenerationInpaintingOutpainting

Who should you write to at Reddit?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . 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

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.