Machine Learning Engineer, Ads

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.

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.

• We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.

• Base Salary: The anticipated salary range for this role is $165 - $230k, depending on experience, skills, scope, and location.

• Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. •

• Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally

• The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.

• Significant ownership, direct impact, and opportunities for professional growth as the company scales.

This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams.

Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual