Senior Data Engineer (Machine Learning)

TL;DR

Senior Data Engineer (Machine Learning): Designing and building large-scale, distributed data systems for machine learning applications with an accent on batch and real-time processing. Focus on cross-functional collaboration, optimizing data pipelines, and mentoring engineers.

Location: US - Remote Eligible

Salary: $204,000—$255,000 USD

Company

hirify.global connects hosts and guests, offering unique stays and experiences globally.

What you will do

• Shape the team’s long-term vision and roadmap in collaboration with cross-functional partners.
• Build relationships with partner engineering teams to drive impactful outcomes.
• Design, develop, and maintain reliable, scalable data pipelines.
• Implement robust feature building processes for ML products.
• Architect and build ML infrastructure, optimizing for performance and cost.
• Mentor and develop engineers while contributing to the broader data engineering community.

Requirements

• 9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years with a PhD.
• Strong CS fundamentals and knowledge of architecture and design patterns.
• Experience running data processing pipelines in production using frameworks like Apache Spark or Flink.
• Excellent communication skills, both written and verbal.