Machine Learning Engineer, Ads

The role

You will build and improve machine learning systems for advertising products. This includes working on ranking, recommendation, targeting, and generative AI models.

What you will do

• 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.
• Apply prompt engineering and post-training techniques to improve generative models.
• Work on fine-tuning, preference optimization, evaluation, and other techniques for adapting foundation models.
• Design and run experiments across creative generation, ranking, targeting, and delivery.
• Build production ML systems that operate reliably at significant scale.
• Work closely with Product, Research, Engineering, and GTM teams.

Required qualifications

• Deep experience building machine learning systems for advertising.
• Strong understanding of ads systems, including areas such as 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.
• High agency.
• Working English.

Nice to have

• Experience building ads, ranking, or recommendation systems at a major consumer, social, search, or advertising platform.
• Experience with generative video, image, or multimodal models.
• Experience using downstream signals such as CTR, CVR, ROAS, engagement, or retention to train or optimize ML systems.
• Experience with large-scale model training, inference optimization, or distributed ML infrastructure.
• Experience building AI systems that generate or optimize advertising creative.

Benefits

• Base Salary: $165 - $230k
• Stock option program
• Comprehensive benefits package
• Opportunity to work on ambitious AI products alongside an international team
• Significant ownership, direct impact, and opportunities for professional growth

About the company

Higgsfield AI is a generative AI company building at the frontier of AI-powered video creation and next-generation creative tools.