Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building real-time, one-to-one personalization at scale to deepen engagement, improve retention, and drive long-term player value. Focus on designing and deploying machine learning systems, building scalable pipelines, and monitoring model performance in production.

Location: Remote (Canada, US)

Company

hirify.global Inc. is a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston.

What you will do

• Lead end-to-end machine learning initiatives focused on improving player engagement and retention.
• Build scalable, reusable machine learning pipelines with a focus on reliability, maintainability, and performance.
• Design and manage CI/CD workflows for machine learning using tools like MLflow, Jenkins, and GitOps.
• Monitor model performance in production, implementing retraining strategies, drift detection, and continuous optimization.
• Partner with cross-functional teams to translate business goals and user insights into high-impact machine learning solutions.
• Mentor other engineers and help define best practices for machine learning system design, development, and deployment.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field.
• At least 3 years of experience working with machine learning systems in production environments.
• Strong proficiency in Python and SQL, with experience working on distributed data platforms such as Spark.
• Proven experience delivering production-grade machine learning models that drive measurable business impact.
• Hands-on experience with Databricks for managing machine learning workflows, model lifecycle, and collaborative development.
• Experience designing experiments and analyzing A/B tests to validate and optimize model performance.
• Strong communication and collaboration skills, with experience mentoring or leading technical initiatives.

Culture & Benefits

• hirify.global is an equal-opportunity employer committed to providing equal employment opportunities regardless of gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.