Haus is a marketing science platform that helps brands measure and maximize the business impact of their marketing spend with scientific precision.
The company aims to identify wasted advertising spend and re-allocate it to maximize growth.
Haus was founded by a team of former product managers, economists, and engineers from notable companies like Google, Netflix, and Meta.
The role involves leading high-impact projects from the ground up, with autonomy to design and build systems that could reshape the advertising ecosystem.
Responsibilities include driving initiatives from concept to final product delivery, implementing probabilistic techniques into reusable statistical libraries, building and maintaining ML systems, reviewing code and designs, and collaborating with cross-functional partners.
Requirements:
A BS or MS in Computer Science, Engineering, Mathematics, or a related field is required.
Candidates must have at least 3 years of work experience in the Adtech industry.
A minimum of 5 years of experience as a Machine Learning Engineer, specifically in building and operating production ML systems, is necessary.
Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design is required.
Candidates should have experience working with cross-functional teams, including product, science, and product operations.
Proficiency in one or more object-oriented programming languages such as Python, Go, Java, or C++ is essential.
Benefits:
The position offers a competitive salary and startup equity.
Employees receive top-of-the-line health, dental, and vision insurance.
A 401k plan is provided.
The company supplies the necessary tools and resources for productivity, including a new laptop and equipment.
Employees work in a small team that has a significant impact on the overall output.
