# Staff Machine Learning Engineer

**Company:** [Haus](https://hotfix.jobs/companies/haus)
**Location:** Seattle, WA, New York, NY, San Francisco, CA
**Role:** ML Engineering
**Salary:** $250k – $270k/yr
**Experience:** 10+ years
**Skills:** Machine Learning, Python, Go, Java, C++, Causal Inference, Statistical Modeling, Hypothesis Testing, Experimental Design, Probabilistic Modeling, Deep Learning, Reinforcement Learning, Bayesian Methods, Multi-Armed Bandits, MLflow
**Posted:** 2026-08-20

> Staff Machine Learning Engineer building and operating production ML systems for causal marketing measurement, optimization, and planning. The role requires deep statistical and machine learning expertise, production programming experience, cross-functional collaboration, and technical mentorship.

## Job Description

## Responsibilities
- Drive initiatives from concept through final product delivery, including the design, development, optimization, and productionization of machine learning solutions.
- Implement probabilistic techniques in reusable statistical libraries, including bootstrapping, statistical tests, and machine learning models and regressions.
- Build and maintain the machine learning systems powering Haus product lines, especially cMMM.
- Drive the design and implementation of AI agentic workflows for machine learning pipelines, including model validation.
- Review teammates’ code and designs, providing constructive feedback.
- Collaborate with product, engineering, data science, applied science, data engineering, and other cross-functional teams.
- Mentor machine learning engineers and raise the organization’s machine learning standards.

## Requirements
- PhD or equivalent experience in Computer Science, Engineering, Mathematics, or a related field.
- 10+ years of industry experience focused on building and operating production machine learning systems.
- Experience with exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
- Experience working with cross-functional teams.
- Proficiency in one or more object-oriented programming languages, such as Python, Go, Java, or C++.

## Nice-to-haves
- Experience with modern deep learning architectures and probabilistic modeling.
- Expertise designing and architecting machine learning systems and workflows.
- Experience with optimization techniques, including reinforcement learning, Bayesian methods, and multi-armed bandits.
- Experience with MLflow.
- Experience applying data science or machine learning to marketing and growth.

## Compensation and Benefits
- Equity participation.
- Health, dental, and vision insurance with multiple plan options.
- Flexible paid time off.
- Work-from-home stipend.
- Events and offsites.
- Free lunch when working from the office.
- New parent leave.

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**Apply:** https://hotfix.jobs/jobs/e157c903-c054-4111-ba03-48d439c852b7
**Canonical:** https://hotfix.jobs/jobs/e157c903-c054-4111-ba03-48d439c852b7