Machine Learning Engineer, Ads

What you'll do

• Build and improve advertising ML systems for ranking, recommendation, targeting, prediction, and optimization.
• Adapt generative models for advertising through prompt engineering, post-training, fine-tuning, and evaluation.
• Run experiments and build scalable production systems that connect generative outputs to advertising performance signals.

What they ask for

• Deep experience building machine learning systems for advertising, with strong understanding of ads systems.
• Hands-on experience with LLMs, multimodal models, or generative AI, plus prompt engineering and model evaluation.
• Experience with post-training techniques such as supervised fine-tuning, preference optimization, or reinforcement learning.
• Strong software engineering fundamentals and experience shipping production ML systems.

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.

Pay

$165 - $230k USD base salary

Tools

LLMs, multimodal models, generative AI, supervised fine-tuning, preference optimization, reinforcement learning

AI focus

Apply generative AI to advertising creative, including prompt engineering, post-training, fine-tuning, preference optimization, and evaluation; connect generated outputs to performance signals for continuous improvement.