Staff Machine Learning Engineer - New York
Haus Analytics4 hours ago
Base Salary
$250k - $270k/yr
Responsibilities
- Lead or contribute to the design, development, optimization, and productionization of machine learning solutions.
- Drive initiatives from concept through final product delivery for complex marketing planning, analysis, and optimization problems.
- Implement probabilistic techniques, including bootstrapping, statistical tests, and machine learning models and regressions, in reusable statistical libraries.
- Build and maintain the machine learning systems powering Haus product lines, specifically cMMM.
- Design and implement AI agentic workflows for machine learning pipelines, including model validation.
- Review teammates’ code and designs and provide constructive feedback.
- Collaborate with engineering, product, science, and other cross-functional partners to deliver systems from ideation to production.
- 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, ideally 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 including product, science, and product operations.
- Proficiency in one or more object-oriented programming languages such as Python, Go, Java, or C++.
- Preferred experience with modern deep learning architectures and probabilistic modeling.
- Preferred expertise in the design and architecture of machine learning systems and workflows.
- Preferred experience with optimization techniques including reinforcement learning, Bayesian methods, and multi-armed bandits.
- Experience with MLFlow is a bonus.
- Experience applying data science or machine learning approaches to marketing and growth is a bonus.
Benefits
- Flexible paid time off.
- Equity in the startup’s successes.
- Health, dental, and vision insurance with multiple plan options.
- Work-from-home stipend.
- Events and offsites.
- Free lunch when working from the office.
- New parent leave.
- Haus values in-person collaboration and gives preference to candidates within commuting distance of offices in San Francisco, Seattle, and New York City.
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.