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Machine Learning Engineer / Applied Scientist - Remote

Posted 2 weeks ago
Software Development
Full Time
USA

Overview

This role will drive high-impact projects for advanced marketing planning, analysis, and optimization at Haus using optimization, machine learning, and causal inference.

In Short

  • Drive initiatives from concept to final product delivery.
  • Implement probabilistic techniques into reusable statistical libraries.
  • Build and maintain ML systems that power Haus’ product lines.
  • Review code and designs of teammates.
  • Collaborate with cross-functional teams to drive system development.

Requirements

  • PhD or equivalent experience in Computer Science, Engineering, Mathematics or related field.
  • 5+ years of industry experience as an Applied Scientist/Machine Learning Engineer.
  • Experience in exploratory data analysis and statistical modeling.
  • Proficiency in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).

Benefits

  • Opportunity to work on high-impact projects.
  • Collaborate with a talented team from top tech companies.
  • Be part of a company recognized as an exceptional startup.
Haus logo

Haus

Haus is a cutting-edge marketing science platform dedicated to helping brands optimize their marketing expenditures with scientific accuracy. With over $360 billion spent annually on paid advertising in the U.S., Haus addresses the common challenge of wasted ad spend by enabling marketers to identify and reallocate resources effectively for maximum growth. Founded by a team of experienced professionals from leading tech companies like Google, Netflix, and Meta, Haus automates complex processes such as experiment design and data analysis, empowering businesses of all sizes to make informed, data-driven decisions. The company is experiencing rapid growth, backed by top-tier venture capital firms, and has been recognized as one of the exceptional startups of 2024.

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