×
Register Here to Apply for Jobs or Post Jobs. X

Senior Director, Software Engineering; Machine Learning

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Affirm
Full Time, Seasonal/Temporary position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 340000 - 375000 USD Yearly USD 340000.00 375000.00 YEAR
Job Description & How to Apply Below
Position: Senior Director, Software Engineering (Machine Learning)

Overview

Join to apply for the Senior Director, Software Engineering (Machine Learning) role at Affirm
.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. We are seeking a Senior Director to lead centralized Machine Learning capability at Affirm, with a focus on guiding ML strategy, development, and platform growth across the organization.

What You’ll Do
  • Set the vision for Machine Learning and AI e world-class ML modelers, platform and software engineers to execute on that vision.
  • Take ownership of our core model development lifecycle and business outcomes across underwriting, fraud, servicing, and personalization.
  • Work closely with product and business leadership to champion AI adoption in both existing and new products.
  • Balance ML investments across traditional ML and transformer-based models.
  • Evolve ML platform to support increasing ML needs with emphasis on training, tuning and serving AI models.
  • Run a robust, yet shortened ML development lifecycle, establishing a culture of experimentation and fast iteration.
  • Collaborate with cross-functional partners outside of engineering including product, risk, servicing, legal and compliance.
What We Look For
  • 15+ years of relevant experience in Machine Learning, AI, or related technical domains
  • Experience leading centralized ML teams comprising ML modelers and ML platform engineers
  • Successful track record in delivering models that directly drive business outcomes and PnL
  • Comfortable working in matrix organizations and influencing across leaders
  • Experience hiring, growing, and retaining talent
  • Keeps up with evolving ML landscape; understands when to buy vs build and what tools/techniques drive business value
Compensation & Benefits

Base pay grade: V;
Equity grade: 21. Base pay ranges: USA base pay range (CA, WA, NY, NJ, CT) per year: $340,000 - $375,000; USA base pay range (all other U.S. states) per year: $305,000 - $340,000. Affirm offers a remote-first environment with some roles potentially requiring office presence. Benefits include health coverage for you and dependents, Flexible Spending Wallets, time off, and ESPP among others.

Affirm is proud to provide inclusive interview experiences and reasonable accommodations. For U.S. positions that could be performed in Los Angeles or San Francisco, Affirm will consider qualified applicants with arrest and conviction records in accordance with local ordinances. By submitting, you acknowledge Affirm’s Global Candidate Privacy Notice.

Job Details
  • Seniority level:
    Director
  • Employment type:

    Full-time
  • Job function:
    Engineering and Information Technology

Note:

This description may include placeholders or ancillary postings related to nearby roles. The core role remains focused on leading Affirm’s ML-driven software engineering efforts.

#J-18808-Ljbffr
Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary