Machine Learning Engineer, Ads
Hybrid (San Francisco Bay Area, USA)$165k - $230kFull-timePosted 2mo ago
About the role
Machine Learning Engineer specializing in advertising to build and optimize an AI-native advertising platform, combining large-scale ML, generative AI, and ads systems.
Responsibilities
- Build and improve ML systems powering advertising products, including ranking, recommendation, targeting, prediction, and optimization.
- Develop models that improve ad creative quality, relevance, personalization, and performance at scale.
- Build systems that connect generative models with real-world advertising performance signals, creating feedback loops that continuously improve model outputs.
- Apply prompt engineering and post-training techniques to improve generative models for advertising and creative use cases.
- Work on fine-tuning, preference optimization, evaluation, and other techniques for adapting foundation models to specific creative and advertising objectives.
- Design and run experiments across creative generation, ranking, targeting, and delivery to understand what drives advertiser performance.
- Build production ML systems that operate reliably at significant scale, from experimentation through inference and serving.
- Work closely with Product, Research, Engineering, and GTM teams to turn advances in generative AI into products advertisers can use.
Qualifications
- Deep experience building machine learning systems for advertising.
- Strong understanding of ads systems, including ranking, recommendation, targeting, bidding, conversion prediction, creative optimization, or measurement.
- Hands-on experience with LLMs, multimodal models, or generative AI systems.
- Strong experience with prompt engineering and model evaluation.
- Experience with post-training, including techniques such as supervised fine-tuning, preference optimization, reinforcement learning, or related approaches.
- Strong software engineering fundamentals and experience shipping production ML systems.
- Ability to operate across research and engineering: you can experiment quickly, identify what works, and turn it into a scalable production system.
- High agency.
- Working English.
Skills
Required:Advertising ML systemsLLMs / multimodal / generative AIPrompt engineering and model evaluationPost-training techniques
Benefits
- We offer a comprehensive benefits package designed to support employees professionally and personally
- Equity: Eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth
- Significant ownership, direct impact, and opportunities for professional growth as the company scales
- Ambitious AI products with an international team
Last updated Oct 11, 2026. Interested? Apply on the company site.
About Higgsfield AI
Higgsfield AI — AI-native creative suite
Create images, videos, and voice content with Higgsfield AI from text prompts or references. Edit and upscale media, automate creative workflows with its AI agent, and generate content on web and mobile.
AI-native creative suiteAppsSeedanceSeedreamMCP & CLIGemini Omni FlashCinema StudioOriginal Series
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