Staff Machine Learning Engineer - San Francisco

What this role involves

Haus is hiring a Staff Machine Learning Engineer to work on their causal marketing platform, focusing on the cMMM problem space. The role involves leading high-impact projects, building ML systems, and mentoring engineers. Requires a PhD or equivalent and 10+ years of industry experience.

Skills this posting asks for

• machine learning
• causal inference
• optimization
• probabilistic techniques
• bootstrapping
• statistical tests
• ml models
• regressions
• python
• go
• java
• c++
• deep learning
• probabilistic modeling
• reinforcement learning
• bayesian methods
• multi-armed bandits
• mlflow
• data science
• marketing
• growth
• agentic workflows
• ml pipelines
• model validation

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…