Startups · AI

Machine Learning Engineer, Ads

Higgsfield · San Francisco Bay Area, USA · Remote

← All jobs
About Higgsfield

Create images, videos, and voice content with Higgsfield AI from text prompts or references. Edit and upscale media, automate creative workflows with its AI agent, and generate content on web and mobile. Backed by Accel and Menlo.

About the role

We're looking for exceptional Machine Learning Engineers focused on Ads to help take Higgsfield's advertising platform to the next level. You'll work at the intersection of large-scale machine learning, generative AI, and advertising systems—building the models and infrastructure that determine how creative is generated, ranked, optimized, and ultimately performs.

What they're looking for

  • 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
More about this role

Higgsfield AI is the fastest-scaling generative AI company in history, hitting $700M in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.

We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.

We're looking for exceptional Machine Learning Engineers focused on Ads to help take Higgsfield's advertising platform to the next level.

You'll work at the intersection of large-scale machine learning, generative AI, and advertising systems—building the models and infrastructure that determine how creative is generated, ranked, optimized, and ultimately performs.

This role is for someone who understands ads systems deeply and is equally strong in modern generative AI. You should be comfortable moving across ranking and recommendation, targeting and optimization, prompt engineering, post-training, and production ML systems.

You'll help define what an AI-native advertising platform looks like from the...

Read the full posting on Higgsfield's site ↗

Research & Development

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.