Software Engineer Machine Learning (Infrastructure)

TL;DR

Software Engineer Machine Learning (Infrastructure) (AI): Design and build ML systems and data pipeline infrastructure for enterprise AI products with an accent on generative AI, RAG, and natural language processing. Focus on building scalable, production-ready ML infrastructure and mentoring engineers.

Location: Hybrid in San Francisco Bay Area, 3-4 days a week onsite

Salary: $200,000 - $280,000 annually

Company

hirify.global is a Work AI platform delivering enterprise search, AI assistants, and scalable AI agents with a secure, open platform powering over 100 SaaS connectors.

What you will do

• Design, build, and improve ML systems and data pipeline infrastructure
• Collaborate with and enable ML engineers focused on modeling
• Write robust, maintainable, and testable code
• Mentor junior engineers and learn from experienced team members

Requirements

• Location: Must work hybrid in San Francisco Bay Area office 3-4 days per week
• 5+ years experience in ML infrastructure or related fields
• Experience with Apache Spark and large batch data pipelines
• Strong coding skills in Python, Go, Java, C++
• BA/BS in computer science, math, or related field
• Customer-focused, proactive attitude with ownership and teamwork

Culture & Benefits

• Comprehensive benefits including medical, vision, dental, and 401k plan
• Home office improvement, education, and wellness stipends
• Vibrant company culture with regular events and healthy lunches
• Inclusive and diverse workplace with non-discrimination policy