Staff Machine Learning Engineer - New York

What this role involves

Haus is seeking a Staff Machine Learning Engineer to drive high-impact projects in marketing planning and optimization, focusing on the cMMM problem space. The role involves leading initiatives from concept to production, implementing probabilistic techniques, and mentoring engineers. Candidates should have a PhD or equivalent experience, 10+ years in industry, and proficiency in object-oriented programming languages.

Skills this posting asks for

• machine learning
• causal inference
• optimization
• probabilistic modeling
• python
• go
• java
• c++
• deep learning
• reinforcement learning
• bayesian methods
• multi-armed bandits
• mlflow
• statistical modeling
• hypothesis testing
• experimental design
• exploratory data analysis
• ml systems
• production ml systems
• agentic workflows
• cmmm

Requirements

• 10 years of experience
• Level: staff
• Remote policy: onsite

From the employer’s posting

About Haus Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling bran…