Senior ML Engineer - Production ML & Causal Inference

Haus Analytics; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible PTO

Equity

Health insurance

WFH stipend

Events & Offsites

Free Lunch

New Parent Leave

Job summary

Haus Analytics in Seattle is seeking a senior ML engineer to drive high-impact projects on the cMMM space, blending ML, causal inference, and scalable production code. You will collaborate with applied scientists, data engineers, and cross-functional teams to deliver trustworthy models and scalable processes, while mentoring colleagues to raise the ML bar.

We offer an inclusive, fast-paced environment with equity, health benefits, flexible PTO, and opportunities to influence global ad spend

Qualifications

• PhD or equivalent experience in Computer Science, Engineering, Mathematics or related field.
• 10+ years of industry experience ideally with a focus on Machine Learning Engineer, building and operating production ML systems.
• Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
• Experience working with cross-functional teams (product, science, product ops etc).
• Proficiency in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).

Responsibilities

• Drive initiatives from concept to final product delivery, ensuring seamless end-to-end execution: design, development, optimization, and productionization of machine learning (ML) solutions for complex and high-impact problems.
• Able to implement probabilistic techniques into reusable statistical libraries, including bootstrapping, statistical tests, and ML models/regressions.
• Build and maintain the ML systems that power Haus’ product lines (specifically cMMM).
• Review code and designs of teammates, providing constructive feedback.
• Lead and collaborate with engineering and cross-functional partners across product, engineering, and science teams to drive system development from ideation to production.
• Drive design and implementation of AI (Agentic) workflows for ML pipelines (including model validation)
• Mentor ML engineers and raise the organization’s ML bar

Skills

Machine Learning Engineer

Exploratory data analysis

Cross-functional collaboration

Python/Go/Java/C++ proficiency

Education

PhD or equivalent in Computer Science, Engineering, Mathematics or related field

Job description

Haus Analytics in Seattle is seeking a senior ML engineer to drive high-impact projects on the cMMM space, blending ML, causal inference, and scalable production code. You will collaborate with applied scientists, data engineers, and cross-functional teams to deliver trustworthy models and scalable processes, while mentoring colleagues to raise the ML bar.

We offer an inclusive, fast-paced environment with equity, health benefits, flexible PTO, and opportunities to influence global ad spend