AI/ML Lead, Performance Marketing Platform
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Summary
We’re looking for a Head of ML/AI to lead the full AI direction of a performance marketing platform. This is a hands-on lead role: you develop the roadmap, shape the architecture, build the critical models, and drive real business impact.
Are you a talented developer looking for a remote job that lets you show your skills and get decent compensation? Join Upstaff.com, a platform that connects you with hand-picked startups and scale-ups in the US and Europe.
Required Skills
Nice to Have
As a ML/AI lead in a performance marketing platform, you'll be designing the roadmap, shaping the architecture, building critical models driving real business impact. You have 5+ years in applied ML, strong engineering skills, and experience shipping models that deliver real value. You’re confident turning product problems into ML formulations and leading teams through fast experimentation cycles. You’re direct, thoughtful, and enjoy working in environments where results matter. This is a technical leadership hands-on role.
What will you do?
- Own the ML strategy and prioritization
- Build and lead development of ranking, bidding, scoring, and optimization models
- Guide end-to-end ML lifecycle: data → features → training → evaluation → deployment
- Design experiments and measurable success criteria
- Collaborate with Product, Data, and Engineering
- Mentor ML researchers/engineers and establish high-quality standards and best practices
Required Skills:
- 5+ years in applied ML with production deployments
- Experience with bidding/ad optimization, ranking, recommendation systems
- Leadership mindset and clear communication
- Strong Python coding skills
- Deep knowledge of tabular ML and optimization models
- Strong SQL knowledge and noSQL systems familiarity
- Experience building ML systems end-to-end
- Ability to define metrics, design experiments, and reason about uncertainty
Nice to have:
- Experience building inference microservices
- Experimentation: A/B, uplift, bandits
What’s the project about?
A large-scale performance-based marketing platform that wants ML to make the decisions: bidding, ranking, scoring, allocation, creative optimization. You will define how ML lives inside the product and build the foundation that business relies upon.