ML Engineer, Ads — Hybrid SF, Equity

Higgsfield AI; San Francisco (CA); Hybrid; USD 165,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Equity / stock options

Benefits package

Hybrid work arrangement

Job summary

Higgsfield AI is seeking exceptional Machine Learning Engineers focused on Ads to advance its advertising platform. You’ll work at the intersection of large-scale ML, generative AI, and advertising systems, building models and infrastructure that determine how creative is generated, ranked, and deployed.

This role requires deep ads systems expertise and strength in modern generative AI. Expect work across ranking, targeting, prompt engineering, post‑training, and production ML systems, with a

Qualifications

• Deep experience building ML systems for advertising.
• Strong understanding of ads systems: ranking, recommendation, targeting, bidding, conversion prediction, creative optimization, or measurement.
• Hands‑on experience with LLMs, multimodal models, or generative AI systems.

Responsibilities

• Build and improve ML systems powering advertising products, including ranking, recommendation, targeting, prediction, and optimisation.
• Develop models that improve ad creative quality, relevance, personalisation, and performance at scale.
• Connect generative models with advertising performance signals to create feedback loops for improvement.
• Apply prompt engineering and post‑training techniques for advertising and creative use cases.
• Work on fine‑tuning and objective-driven model adaptation for ads.

Skills

Advertising ML systems

Ads ranking

Recommendation systems

Targeting optimization

Prompt engineering

Post-training / fine-tuning

Production ML engineering

Cross-functional collaboration

English communication

Job description

Higgsfield AI is seeking exceptional Machine Learning Engineers focused on Ads to advance its advertising platform. You’ll work at the intersection of large-scale ML, generative AI, and advertising systems, building models and infrastructure that determine how creative is generated, ranked, and deployed.

This role requires deep ads systems expertise and strength in modern generative AI. Expect work across ranking, targeting, prompt engineering, post‑training, and production ML systems, with a