Staff Data & Machine Learning Engineer (AI)

TL;DR

Staff Data & Machine Learning Engineer (AI/ML): Designing and scaling systems that transform raw events into customer-facing data products and generative AI workloads with an accent on operationalizing ML workflows and data architecture. Focus on building reliable data pipelines, implementing LLM-based products, and ensuring high data quality and observability.

Location: Remote (USA)

Salary: $118,400 – $171,000 per year

Company

hirify.global provides a client experience platform for appointment-based self-care businesses like salons and spas.

What you will do

• Optimize and maintain core data models for customer reports, ML, and Generative AI workloads.
• Build and operationalize ML/AI workflows from development through deployment and monitoring.
• Collaborate with product and engineering teams to deliver seamless customer-facing data products.
• Implement data quality, observability, and governance frameworks to ensure reliability at scale.
• Create technical documentation for data flows, integration contracts, and operational runbooks.

Requirements

• 5+ years of experience in data engineering.
• 2+ years of experience building and deploying ML systems in production environments.
• Strong proficiency in SQL and Python, including ML frameworks and AI tooling.
• 3+ years of experience with the modern data stack (dbt, Snowflake, data streaming, Looker/Omni).
• Strong understanding of semantic layer design and dimensional modeling.
• Must be based in the USA.

Nice to have

• Experience with Snowflake Cortex.

Culture & Benefits

• Comprehensive health package: 401(k) match, medical, dental, vision, and life insurance.
• Flexible vacation day policy.
• Fully remote work arrangement with a monthly work-from-home stipend.
• Equity options in the company.
• Learning and Development program (hirify.global Bucks) to explore the self-care market.