Staff Machine Learning Engineer - Seattle
Haus Analytics4 hours ago
Base Salary
$250k - $270k/yr
Responsibilities
- Drive ML initiatives from concept through final product delivery, including solution design, development, optimization, and productionization.
- Implement probabilistic techniques, bootstrapping, statistical tests, and ML models or regressions in reusable statistical libraries.
- Build and maintain the machine learning systems powering Haus’s product lines, particularly cMMM.
- Review teammates’ code and designs and provide constructive feedback.
- Lead collaboration across product, engineering, science, product operations, and related cross-functional teams.
- Design and implement AI agentic workflows for ML pipelines, including model validation.
- Mentor ML 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 product, science, and product operations teams.
- Proficiency in one or more object-oriented programming languages, such as Python, Go, Java, or C++.
- Preferred experience with modern deep learning architectures, probabilistic modeling, and ML system or workflow architecture.
- Preferred experience with optimization techniques including reinforcement learning, Bayesian methods, and multi-armed bandits.
- Preferred experience with MLflow and machine learning or data science approaches in marketing and growth.
Benefits
- Flexible paid time off.
- Equity in the startup’s success.
- Health, dental, and vision insurance with multiple plan options.
- Work-from-home stipend.
- Events and offsites.
- Free lunch when working from offices in San Francisco, New York City, or Seattle.
- New parent leave.
- The company values in-person collaboration and prefers candidates within commuting distance of its San Francisco, Seattle, or New York City offices.
Categories
About Haus Analytics
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 brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. Haus was named a LinkedIn Top Startup in 2024 and 2025 and has been featured in outlets like AdExchanger, Axios, Business Insider, Marketing Brew, and Wall Street Journal.