Software Engineer, Machine Learning (AI)

Location: Remote

Company

hirify.global provides advertising software for brands across Connected TV, web, and mobile, with a focus on performance marketing and measurable campaign outcomes.

What you will do

• Design and build marketing platforms and high-volume services that reliably reach audiences at scale.
• Operationalize machine learning prototypes by developing production-ready models and scalable ML systems.
• Design, train, evaluate, and improve models for deliverability, forecasting, and campaign optimization.
• Build offline and online evaluation workflows connected to measurable business outcomes.
• Improve service reliability, latency, observability, data freshness, and model performance in collaboration with Product and engineering partners.
• Own production systems, ship model improvements safely, and participate in the on-call rotation.

Requirements

• 5+ years of experience building and operating machine learning models in production.
• Strong applied machine learning fundamentals, including classification, regression, forecasting, and rigorous evaluation.
• Strong Python and SQL skills with production engineering discipline around testing, maintainability, and performance.
• Experience with real-time or near-real-time data pipelines, experimentation frameworks, and production model monitoring.
• Experience balancing model quality, system constraints, and speed to production, with strong technical communication and cross-functional collaboration.
• Experience in ad tech, growth analytics, personalization, or performance marketing.

Nice to have

• Experience with Kedro, AutoGluon, PyTorch, Polars, BigQuery, GCP, Airflow, SQLMesh, or Databricks.
• Experience with reinforcement learning, including Q-Learning or Multi-Armed Bandits.

Culture & Benefits

• People-first culture built around trust, ambition, quality, radical honesty, and compassionate leadership.
• Opportunity to work on software processing petabytes of data and serving content to millions of people daily.
• Focus on using AI to improve efficiency and develop new solutions while preserving human judgment.
• Remote work arrangement.