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.