Machine Learning Engineer, Ads
Higgsfield4 hours ago
Base Salary
$165k - $230k/yr
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.
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About 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 tools of a world-class studio. Higgsfield is where your ideas become cinema.