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Salary: USD 165,000 - 230,000 / annual
Higgsfield AI is a rapidly scaling generative AI company with $700M+ annual revenue run rate, 30M+ users, and 6M+ daily generations, powering 390 Fortune 500 brands. The company is building AI-powered video creation and next-generation creative tools.
You'll join as a Machine Learning Engineer focused on the advertising platform, working at the intersection of large-scale ML, generative AI, and ads systems. Your core responsibilities include building and improving ML systems that power ranking, recommendation, targeting, prediction, and optimization for advertising products. You'll develop models that enhance ad creative quality, relevance, personalization, and performance at scale.
Key focus areas include: connecting generative models with real-world advertising performance signals to create continuous improvement feedback loops; applying prompt engineering and post-training techniques to adapt foundation models for creative and advertising objectives; fine-tuning models using preference optimization, reinforcement learning, and evaluation techniques; designing and running experiments across creative generation, ranking, targeting, and delivery; and building production ML systems that operate reliably at significant scale from experimentation through inference and serving.
You'll collaborate closely with Product, Research, Engineering, and GTM teams to translate advances in generative AI into practical advertising products.
Required qualifications include deep experience building ML systems for advertising with strong understanding of ads systems (ranking, recommendation, targeting, bidding, conversion prediction, creative optimization, measurement); hands-on experience with LLMs, multimodal models, or generative AI; strong prompt engineering and model evaluation skills; post-training experience (supervised fine-tuning, preference optimization, reinforcement learning); strong software engineering fundamentals and production ML shipping experience; ability to operate across research and engineering with high agency; and working English proficiency.
Nice-to-have experience includes building ads/ranking/recommendation systems at major consumer, social, search, or advertising platforms; generative video, image, or multimodal model experience; downstream signal optimization (CTR, CVR, ROAS, engagement, retention); large-scale model training and inference optimization; and AI systems for advertising creative generation or optimization.
This is a hybrid role based in San Francisco with expectations to work from the office three full days per week, with remaining days remote. The company offers competitive base salary ($165-$230k depending on experience), equity participation, comprehensive benefits, significant ownership, direct impact, and professional growth opportunities.
