Machine Learning Engineer, Ads

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Machine Learning Engineer, Ads in USA

Higgsfield
Full time
Email

USA
08/20/2026
Report

San Francisco, CA

Responsibilities

Build and improve ML systems for advertising ranking, recommendation, targeting, prediction, and optimization.
Develop models that improve ad creative quality, relevance, personalization, and performance at scale.
Connect generative models with advertising performance signals to create continuously improving feedback loops.
Apply prompt engineering, post-training, fine-tuning, preference optimization, and evaluation techniques to generative models.
Design and run experiments across creative generation, ranking, targeting, and delivery.
Build reliable production ML systems spanning experimentation, inference, and serving.
Collaborate with Product, Research, Engineering, and go-to-market teams to turn generative AI advances into advertiser-facing products.

Requirements

Deep experience building machine learning systems for advertising.
Strong understanding of ads systems, including 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 techniques such as supervised fine-tuning, preference optimization, or reinforcement learning.
Strong software engineering fundamentals and experience shipping production ML systems.
Ability to move between research experimentation and scalable production engineering.
Working English and high agency.
Preferred experience with ads, ranking, or recommendation systems at a major consumer, social, search, or advertising platform.
Preferred experience with generative video, image, or multimodal models; downstream signals such as CTR, CVR, ROAS, engagement, or retention; large-scale training; inference optimization; distributed ML infrastructure; or AI systems for advertising creative.

Benefits

Base salary range of $165,000–$230,000, depending on experience, skills, scope, and location.
Eligibility to participate in the company stock option program.
Comprehensive benefits package.
Opportunity to work on ambitious AI products with an experienced international team.
Significant ownership, direct impact, and professional growth opportunities.
Hybrid work in the San Francisco Bay Area with three full days per week in the San Francisco office and remaining days remote.
Expected availability during agreed working hours and sufficient overlap with the relevant team’s time zone.

Salary: $165k - $230k/yr

Higgsfield

Higgsfield is the ultimate production studio for creators by creators. 40% of our team are filmmakers, producers, and creatives who shape our product roadmap, working side by side with our ML engineers in a relentless creative feedback loop. We're on a mission to give everyone with a vision the t...

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