Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (Trust): Develop and productionize advanced Machine Learning models and infrastructure to protect hirify.global's community from fraud and ensure trust. With an accent on large-scale ML systems, Agentic AI, and cross-functional collaboration. Focus on designing scalable ML architectures, driving multi-quarter initiatives, and advancing state-of-the-art ML in trust and risk domains.

Location: Remote within the United States only; must reside in a state where hirify.global has a registered entity.

Salary: $244,000–$305,000 USD

Company

hirify.global is a global platform connecting millions of hosts and guests, focused on building trust and safety through innovative technology and community standards.

What you will do

• Define and execute the long-term ML vision and strategy for Trust engineering.
• Lead and mentor ML and software engineers on complex architectural and modeling challenges.
• Drive large-scale, multi-team ML initiatives influencing product and platform roadmaps.
• Develop and operate cutting-edge ML models and pipelines for fraud detection and risk evaluation.
• Collaborate with cross-functional teams including product managers, data scientists, and engineers.
• Work on advanced topics such as anomaly detection, multimodality, and Agentic AI.

Requirements

• Must have 12+ years of industry experience in applied Machine Learning.
• 2-3+ years experience with LLMs and Agentic AI technologies.
• Bachelor’s, Master’s or PhD in CS, ML, or related field.
• Strong programming skills in Scala, Python, Java, C++ or equivalent.
• Deep understanding of ML best practices, algorithms, and domains including NLP, computer vision, and anomaly detection.
• Must reside in a US state where hirify.global has a registered entity.

Nice to have

• Experience in Trust and Risk domain.
• Familiarity with Kubernetes and production ML infrastructure.
• Experience with test-driven development and A/B testing.

Culture & Benefits

• Remote work eligible within the US with occasional office or offsite attendance.
• Competitive base salary with bonus, equity, and employee travel credits.
• Commitment to inclusion, diversity, and disability accommodations.
• Supportive environment fostering innovation and collaboration.