Senior/Staff Machine Learning Engineer - Ad Ecosystems - Remote

Overview

Haus is a marketing science platform that helps brands maximize their marketing spend through data-driven decision-making. The Senior/Staff Machine Learning Engineer will lead high-impact projects, developing systems that reshape the advertising ecosystem.

In Short

• Lead high-impact projects from concept to delivery.
• Design and build machine learning systems for advertising.
• Implement statistical techniques and ML models.
• Collaborate with cross-functional teams.
• Drive system development from ideation to production.
• Review code and provide feedback to teammates.
• Work in a fast-paced startup environment.
• Utilize advanced marketing planning tools.
• Focus on scalable, production-ready solutions.
• Enjoy autonomy in project execution.

Requirements

• BS or MS in Computer Science, Engineering, Mathematics or related field.
• 3+ years of experience in the Adtech industry.
• 5+ years of experience as a Machine Learning Engineer.
• Experience in exploratory data analysis and statistical modeling.
• Proficiency in one or more programming languages (Python, Go, Java, C++).
• Experience with cross-functional teams.
• Knowledge of LLMs or AI agentic fields is a plus.
• Expertise in ML system design and architecture preferred.
• Experience in data science approaches in marketing is advantageous.

Benefits

• Competitive salary and startup equity.
• Comprehensive health, dental, and vision insurance.
• 401k plan.
• Tools and resources for productivity.
• Small team with significant impact.