Availability awaiting confirmation
We are waiting for a fresh update from the source. This page preserves the last received job details; current availability is not confirmed.
Job description
Why work at Higgsfield AI?
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.
Why work at Higgsfield AI?
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.
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.
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 ground up.
What you’ll do:
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.
Build systems that connect generative models with real‑world advertising performance signals, creating feedback loops that continuously improve model outputs.
Apply prompt engineering and post‑training techniques to improve generative models for advertising and creative use cases.
Work on fine‑tuning, preference optimisation, evaluation, and other techniques for adapting foundation models to specific creative and advertising objectives.
Design and run experiments across creative generation, ranking, targeting, and delivery to understand what drives advertiser performance.
Build production ML systems that operate reliably at significant scale, from experimentation through inference and serving.
Work closely with Product, Research, Engineering, and GTM teams to turn advances in generative AI into products advertisers can use.
Requirements
Deep experience building machine learning systems for advertising.
Strong understanding of ads systems, including areas such as ranking, recommendation, targeting, bidding, conversion prediction, creative optimisation, 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 optimisation, reinforcement learning, or related approaches.
Strong software engineering fundamentals and experience shipping production ML systems.
Ability to operate across research and engineering: you can experiment quickly, identify what works, and turn it into a scalable production system.
High agency.
Working English.
Nice to have
Experience building ads, ranking, or recommendation systems at a major consumer, social, search, or advertising platform.
Experience with generative video, image, or multimodal models.
Experience using downstream signals such as CTR, CVR, ROAS, engagement, or retention to train or optimise ML systems.
Experience with large‑scale model training, inference optimisation, or distributed ML infrastructure.
Experience building AI systems that generate or optimise advertising creative.
Compensation & Benefits
We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long‑term growth.
Base Salary: The anticipated salary range for this role is $165 - $230k, depending on experience, skills, scope, and location.
Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option programme and share in Higgsfield’s long‑term growth.
Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally.
The opportunity to work on ambitious AI products alongside a highly experienced, fast‑moving, and international team.
Significant ownership, direct impact, and opportunities for professional growth as the company scales.
hybrid role based in the San Francisco Bay Area . Team members are expected to work from our San Francisco office three full days per week , with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in‑person collaboration, active communication, responsiveness, and close partnership across teams.
Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual
Compensation Range: $165K - $230K
#J-18808-Ljbffr
Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.