TL;DR

Senior Machine Learning Engineer (AI): Building and scaling production-grade ML systems that drive real-time personalization across the %hirify_global% platform with an accent on real-time targeting, decisioning and personalization systems. Focus on improving system reliability, performance, and engineering efficiency.

Location: Remote (US)

Salary: $244,000 - 320,000 annually + equity + benefits

Company

%hirify_global%® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect.

What you will do

Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems.
Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration.
Proactively safeguard model and system quality through testing, monitoring, validation, and alerting.
Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions.
Continuously improve system reliability, performance, and engineering efficiency.

Requirements

6+ years of professional experience building production machine-learning software systems.
Proven experience owning ML systems long enough to see the downstream impact of design decisions.
Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost.
Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib.
Hands-on experience building automated pipelines for data processing, model training, validation, and deployment.
Strong communication skills and a high sense of ownership.

Culture & Benefits

Competitive perks and benefits, from health & wellness to equity.
Distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney.