Job Url: https://www.remoterocketship.com/company/haus-io/jobs/senior-machine-learning-engineer-ad-ecosystems-united-states-remote

Job Description: 
Haus
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Haus is a marketing science platform that helps businesses measure the incrementality of their advertising efforts, both online and offline. It provides tools like GeoLift and Causal Attribution to optimize marketing campaigns and investments. 

Haus enables businesses to conduct experiments to evaluate the impact of their advertising spend, offering insights that drive smarter marketing decisions. By employing advanced econometric models, Haus helps companies accurately assess their marketing's incremental value, ultimately leading to better investment strategies and higher returns. 


11 - 50 employees

☁️ SaaS

💰 $4M Venture Round on 2022-06

Senior Machine Learning Engineer - Ad Ecosystems
Yesterday

🇺🇸 United States – Remote

💵 $180k - $240k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

Java

Python

Go

Apply Now


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📋 Description
• Haus is a marketing science platform that helps brands measure and maximize the business impact of their marketing spend with scientific precision.
• Haus helps marketers identify which half, and re-allocate it to maximize growth.
• Haus was built by a team of former product managers, economists, and engineers from Google, Netflix, Meta, and others.
• By automating the heavy lifting of experiment design, data processing, and insights generation, we empower our customers to make more profitable, data-driven decisions.
• We hear our customers frequently rave about our product, for example "we've seen north of 10x ROI on our annual investment in Haus in the first 2 months alone.”
• Haus is on a hypergrowth trajectory, well-capitalized, and backed by top-tier VCs.
• You'll have the autonomy to design and build systems that could fundamentally reshape the advertising ecosystem.
• The work will involve developing complex intervention systems, advanced marketing planning tools, and optimization engines powered by machine learning and causal inference.
• We’re looking for individuals who thrive on solving tough problems, think critically, and love turning ideas into scalable, production-ready systems.
• If you enjoy both writing production code and building innovative solutions, this role is for you.

🎯 Requirements
• BS or MS in Computer Science, Engineering, Mathematics or related field
• Must have3+ years of work experience in Adtech industry
• Must have 5+ years of working experience as a Machine Learning Engineer, building and operating production ML systems.
• Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
• Experience working with cross-functional teams(product, science, product ops etc).
• Proficiency in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).

🏖️ Benefits
• Competitive salary and startup equity
• Top of the line health, dental, and vision insurance
• 401k plan
• Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)
• Small team with big impact on the overall output