haus
11 live roles
This role will drive high-impact projects for advanced marketing planning, analysis, and optimization at Haus using optimization, machine learning, and causal inference. We are looking for individuals who not only excel in problem solving and critical thinking, but also are interested and proficient in writing production code, turning ideas to scalable systems. This role specifically will work deeply on the cMMM machine learning problem space. The role will be a blend of working with applied scientists, data scientists, data engineers and other MLEs to deliver trustworthy results to our customers while focusing on creating processes that help scale the business. What you’ll do Drive initiatives from concept to final product delivery, ensuring seamless end-to-end execution: lead or contribute to the design, development, optimization, and product ionization of machine learning (ML) solutions for complex and high-impact problems.
Open roles
- Full Stack EngineerSan Francisco, CA, US · 15d ago
- Machine Learning EngineerNew York, NY, US · 1mo ago
- Machine Learning EngineerSan Francisco, CA, US · 1mo ago
- Machine Learning EngineerSeattle, WA, US · 1mo ago
- Full Stack EngineerSan Francisco, CA, US · 1mo ago
- Software EngineerSan Francisco, CA, US · 1mo ago
- Backend EngineerSeattle, WA, US · 1mo ago
- Full Stack EngineerSeattle, WA, US · 1mo ago
- Software EngineerSeattle, WA, US · 2mo ago
- Software EngineerSan Francisco, CA, US · 2mo ago
- Software EngineerNew York, NY, US · 2mo ago
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