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Senior Director, Software Engineering (Machine Learning)
Senior Director, Software Engineering (Machine Learning)Affirm • Kelowna, Regional District of Central Okanagan, CA
Senior Director, Software Engineering (Machine Learning)

Senior Director, Software Engineering (Machine Learning)

Affirm • Kelowna, Regional District of Central Okanagan, CA
30+ days ago
Job type
  • Full-time
Job description

Overview

Senior Director, Software Engineering (Machine Learning) at Affirm. Lead centralized Machine Learning capability and drive AI adoption across products and business outcomes, including underwriting, fraud, servicing, and personalization.

What You’ll Do

  • Set the vision for Machine Learning and AI at Affirm. Hire world class Machine Learning modelers, Platform and Software engineers to execute on that vision.
  • Take ownership of our core model development lifecycle and business outcomes across our established verticals – underwriting, fraud, servicing, 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 our increasing ML needs across Affirm with a special emphasis on training, tuning and serving AI models.
  • Run a robust, yet shortened ML development lifecycle establishing a culture for experimenting and failing fast.
  • Work with a wide variety of cross functional partners outside of engineering ranging from 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 of both ML modelers and ML platform engineers
  • Successful track record in landing key models responsible for the company’s success that directly drive PnL
  • Comfortable working in matrix organizations and influencing across a wide variety of leaders
  • Experience hiring and growing, and retaining talent
  • Keeps up with evolving ML landscape — understands when to buy vs build, and what tools / techniques can drive the most business value
  • Compensation

  • Base Pay Grade - V
  • Equity Grade - 13
  • Base pay range per year : CAN $270,000 - $310,000
  • Benefits

  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
  • Affirm is remote-first. The majority of roles are remote and you can work almost anywhere within the country of employment. A limited number of roles remain office-based due to the nature of their job responsibilities.

    Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

    Benefits may include : health insurance, stipend programs, time off, and equity opportunities. CAN base pay range provided above is for reference.

    We’re proud to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

    [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

    By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

    Seniority level

  • Director
  • Employment type

  • Full-time
  • Job function

  • Engineering and Information Technology
  • Referrals increase your chances of interviewing at Affirm by 2x

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    Senior Director Software Engineering Machine Learning • Kelowna, Regional District of Central Okanagan, CA

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