Senior Machine Learning Engineer (Recommender Systems)

TL;DR

Senior Machine Learning Engineer (Recommender Systems): Building and evolving a personalized recommendation system for an interactive learning platform with an accent on real-time product behavior, content metadata, and experimentation. Focus on designing, deploying, and operating recommendation models while partnering with engineering teams to ship measurable improvements into production.

Location: Must be based in the United States

Salary: $154,445–$185,334

Company

hirify.global is the company behind the open observability cloud, providing a flexible, scalable platform trusted by millions of users and thousands of customers to ensure system reliability.

What you will do

• Evolve the Interactive Learning plugin's recommendation system by developing personalized approaches to ranking and next-best-action recommendations.
• Build, validate, monitor, and iterate on applied models used in a production environment.
• Define and implement offline, online, and longitudinal measures of recommendation performance.
• Partner with software engineers to productionize models and integrate them safely into the recommender service.
• Collaborate with Product Analytics and Developer Advocacy teams to translate ambiguous needs into testable hypotheses.

Requirements

• Must be based in the United States
• Proven experience in recommendation and personalization science, including ranking, search, or propensity systems.
• Experience with Go, TypeScript, HTTP/gRPC, and distributed systems.
• Demonstrated ability to personally build, validate, and operate applied models in production environments.
• Strong product thinking and ability to communicate technical tradeoffs to diverse audiences.

Nice to have

• Experience with content, education, or learning recommendation systems.
• Familiarity with Grafana or the broader observability ecosystem.
• Experience with warehouse-scale behavioral data or contextual bandits.
• Experience working with privacy, fairness, and responsible personalization constraints.

Culture & Benefits

• 100% remote-first global culture with a focus on collaboration and transparency.
• Global annual leave policy of 30 days per annum, including reserved shutdown days.
• Equity ownership through Restricted Stock Units (RSUs) for all team members.
• Innovation-driven environment with high autonomy and trust.
• Defined career growth pathways and approachable leadership.