Machine Learning Engineer (AI)

Location: New York, NY, with preference for candidates within commuting distance of offices in San Francisco, Seattle, or New York City; in-person collaboration is valued.

Salary: $250,000–$270,000 base salary per year, excluding equity and benefits.

Company

hirify.global is an AI-driven causal marketing platform that helps businesses optimize advertising spend through marketing measurement, experimentation, and growth analytics.

What you will do

• Lead machine learning initiatives from concept through production, including system design, development, optimization, and productization.
• Build and maintain production ML systems for causal marketing measurement, particularly cMMM.
• Develop reusable statistical libraries with probabilistic techniques, bootstrapping, statistical tests, and regression models.
• Design AI agent workflows for ML pipelines, including model validation.
• Collaborate with product, engineering, data science, applied science, and data engineering teams.
• Review technical designs and code, mentor ML engineers, and raise engineering standards.

Requirements

• PhD or equivalent experience in computer science, engineering, mathematics, or a related field.
• 10+ years of industry experience building and operating production machine learning systems.
• Experience with exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
• Proficiency in at least one object-oriented programming language, such as Python, Go, Java, or C++.
• Experience designing ML systems and workflows, including modern deep learning architectures and probabilistic modeling.
• Experience working with cross-functional product, science, and operations teams.

Nice to have

• Expertise in reinforcement learning, Bayesian methods, multi-armed bandits, and other optimization techniques.
• Experience with MLflow.
• Experience applying data science or machine learning to marketing and growth.

Culture & Benefits

• High-performance, low-ego environment with strong ownership and collaboration.
• Flexible paid time off.
• Equity participation in a startup environment.
• Health, dental, and vision insurance with multiple plan options.
• Work-from-home stipend, events and offsites, free office lunches, and new parent leave.