Machine Learning Engineer, Ads
Higgsfield AI · San Francisco Bay Area, USA
CHECKED 5H AGO
Applied AIremote$165k–$230k
At a glance
Highlights
- Build ML systems powering a next-gen AI-native advertising platform.
- Connect generative models to real-world ad performance signals.
- Design experiments across creative generation, ranking and delivery.
What they offer
- Equity - stock option program
- Bonus
- Comprehensive benefits package
Ideal candidate
A high-agency ML engineer obsessed with ads and generative AI who thrives moving from rapid experimentation to scaled production and wants to define an AI-native advertising platform from the ground up.
Requirements
- Deep experience building machine learning systems for advertising
- Strong understanding of ads systems including ranking, recommendation, targeting, bidding, conversion prediction, creative optimization and 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 supervised fine-tuning, preference optimization and reinforcement learning
- Strong software engineering fundamentals and experience shipping production ML systems
- Ability to operate across research and engineering from experimentation to scalable production
- High agency
- Working English
- remote policy
- Hybrid - 3 days per week in San Francisco office, remainder remote
Lab profile
About Higgsfield AI
Generative AI company building AI-powered video creation and creative tools
What they build
- AI-powered video creation platform
- Next-generation creative tools
Known for
- Fastest-scaling generative AI company
- Frontier AI-powered video creation
- Powering 390 Fortune 500 brands
Key facts
- $500M annual revenue run rate
- 25M+ users worldwide
- 6M+ generations per day