TL;DR

Staff Machine Learning Engineer (AI): Building and optimizing advanced ML models that predict customer behaviors in real-time for a personalized AI marketing platform, with an accent on developing scalable systems and data-driven products. Focus on leading cross-functional machine learning projects and implementing end-to-end modeling use cases.

Location: Remote (US-based only)

Salary: $288,000–$330,000 annually + equity + benefits

Company

%hirify_global% is an AI marketing platform for 1:1 personalization that redefines how brands and people connect.

What you will do

Contribute to the development of machine learning models and infrastructure needs across the %hirify_global% platform.
Work with Product Management and Engineering to implement end-to-end modeling use cases.
Build systems that maintain a high bar of quality and proactively protect against regressions.
Constantly improve the quality of projects via direct contributions and long-term advocacy.
Lead cross-functional machine learning projects across teams.

Requirements

6+ years of professional experience building systems, with 10+ years ideal.
Proficiency with Python.
Extensive experience using machine learning and data analysis to build scalable systems and data-driven products.
Proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation.
Experience with TensorFlow/PyTorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools.
Must be eligible to work in the United States.

Culture & Benefits

Competitive perks and benefits, including health & wellness and equity.
High-growth career opportunity to work with talented machine learning engineers.
Distributed global workforce with employee hubs in New York City, San Francisco, London, and Sydney.
Company Values: Default to Action, Be One Unstoppable Team, Champion the Customer, Act Like an Owner.