ML Engineer, Ads & Generative AI Platform

Higgsfield; San Francisco (CA); Hybrid; USD 165,000 - 230,000; Full time

Benefits offered by this job

Salary range: $165k–$230k

Equity program

Benefits package

Hybrid work in SF

Job summary

Higgsfield AI, the fastest-scaling generative AI company, is hiring a Machine Learning Engineer focused on Ads in the San Francisco Bay Area. You will work at the intersection of large-scale ML, generative AI, and advertising systems, building models and infrastructure that determine how creative is generated, ranked, and optimized for performance.

You’ll contribute across ranking, recommendation, targeting, prompt engineering, post-training, and production ML systems, shaping an AI-native

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 techniques such as supervised fine-tuning, preference optimization, reinforcement learning, or related approaches.
• Strong software engineering fundamentals and experience shipping production ML 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.

Skills

ML systems for ads

LLMs / Generative AI

Prompt engineering

Production ML systems

English proficiency

Job description

Higgsfield AI, the fastest-scaling generative AI company, is hiring a Machine Learning Engineer focused on Ads in the San Francisco Bay Area. You will work at the intersection of large-scale ML, generative AI, and advertising systems, building models and infrastructure that determine how creative is generated, ranked, and optimized for performance.

You’ll contribute across ranking, recommendation, targeting, prompt engineering, post-training, and production ML systems, shaping an AI-native