Higgsfield
Machine Learning Engineer, Ads
- Confirmed live in the last 24 hours
- $165k–$230k
- Mid level
- Full-time
- Remote · San Francisco Bay Area, USA
- Added 1 month ago
About this role
Higgsfield AI is seeking a Machine Learning Engineer to build and enhance their advertising platform, leveraging generative AI. This role focuses on developing models and infrastructure for ad generation, ranking, and optimization, requiring a strong understanding of advertising systems and practical experience with large language models. It’s a high-impact opportunity to shape the future of AI-native advertising within a rapidly growing company.
What you'll do
- Build and improve machine learning systems for ranking, recommendation, targeting, and optimization within advertising products.
- Develop models to enhance ad creative quality, relevance, and performance at scale.
- Create feedback loops connecting generative models with advertising performance signals.
- Apply prompt engineering and post-training techniques to optimize generative models for advertising.
- Design and run experiments to understand what drives advertiser performance.
- Build and maintain production ML systems for scalable ad serving.
What they're looking for
- Machine Learning
- Generative AI
- LLMs
- Prompt Engineering
- Model Evaluation
- Ads Systems
- Ranking/Recommendation
- Software Engineering
Benefits
- Competitive salary
- Equity options
- Comprehensive benefits package
- Opportunity for significant impact
- Professional growth
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Higgsfield
Likely interview questions
- Describe your experience building machine learning systems specifically for advertising applications.
- How familiar are you with prompt engineering techniques, and how have you used them to improve model outputs?