Machine Learning Engineer - AI Optimization Specialist

A leading AI startup is seeking a talented Machine Learning Engineer / Member of Technical Staff specializing in ML & Optimization.

This innovative company is developing an AI Operator for growth, utilizing machine learning, optimization, and risk management to autonomously oversee ad spend.

Imagine applying quant-style trading systems to the world of digital advertising!

The company is already

• Managing spend for global consumer brands
• Achieving 20-50% efficiency improvements
• Backed by prominent venture investors
• Preparing for a Series A funding round this year
• Expanding a small, highly skilled founding team

This role offers a comprehensive end-to-end ML experience.

You will be involved in

• Developing value models for LTV and campaign performance
• Implementing risk-aware budget allocation and optimization strategies
• Detecting creative fatigue and market inefficiencies
• Integrating execution layers with major ad platforms
• Overseeing production deployment, monitoring, and model iterations
• Conducting backtesting and simulations before financial capital is allocated

The ideal candidate will have

• 4+ years of experience in ML and optimization
• Strong production engineering capabilities
• Proficiency in classical ML, regression, statistics, and linear algebra
• A pragmatic and fast-paced approach to development
• A keen interest in quant-style systems, markets, and automation
• The ability to take ownership of systems from research through to production

Bonus qualifications include

• Experience in convex optimization
• Knowledge of quantitative finance or algorithmic trading
• Familiarity with programmatic advertising and RTB
• Understanding of control theory
• Experience with AI-native engineering workflows

This is an exceptional opportunity to build ML systems that make real-time decisions in dynamic markets, rather than just developing models confined to notebooks.

If you're ready to take on this high-ownership role, reach out to learn more!