Senior Software Engineer (Machine Learning)

TL;DR

Senior Software Engineer (Machine Learning): Designing, implementing, and scaling hirify.global's self-learning AI platform with an accent on robust software engineering practices and data architecture. Focus on building production-ready AI pipelines, leveraging big data, and applying extensive Python expertise.

Location: Hybrid in Chicago, United States

Salary: $129,600–$232,200/year (base salary) or $144,000–$258,000/year (On Target Earnings including bonus)

Company

hirify.global is a leading customer engagement platform that empowers brands to Be Absolutely Engaging™ by using AI-powered decisioning and optimization.

What you will do

• Design, implement, and improve modular components in a cutting-edge ML product using robust software engineering practices.
• Interact with big data, build for scale, and create the infrastructure to leverage its latent power.
• Apply extensive Python and its ecosystem knowledge to produce clean, readable, and extendible code.
• Collaborate with product strategy teams and support customer implementations.

Requirements

• 3+ years of experience working with Python in a product setting, including 1+ years in the data/machine learning ecosystem.
• Experience working with at least one major cloud platform (GCP, AWS, Azure).
• Experience putting ML models into production.
• Exceptional coding skills, focusing on clean, object-oriented code and terse, testable APIs.
• Ability to structure a plan, align stakeholders, and see it through to execution.
• Clear communication skills, both in writing and speech.

Nice to have

• Experience and/or interest in Ruby.
• General understanding of supervised learning principles.

Culture & Benefits

• Competitive compensation that may include equity and Employee Stock Purchase Plans.
• Flexible paid time off and comprehensive benefit plans covering medical, dental, vision, life, and disability.
• Family services that include fertility benefits and equal paid parental leave.
• Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend.
• Curated in-office experience designed to foster community, team connections, and innovation.
• Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching.