data
Posted Jun 18Senior Engineering Manager, Machine Learning Platform
at Affirm
CanadaRemote
Responsibilities
- Own the technical strategy and roadmap for ML Platform, covering real-time and batch feature computation, model training infrastructure, and model serving at scale.
- Lead and grow a team of engineering managers, while staying hands-on with the technical direction and maintaining close partnership with ICs.
- Establish engineering excellence across the organization: reliability, observability, developer experience, and operational rigor.
- Recruit, develop, and retain world-class platform engineers. What We Look For
- Track record of building platforms that meaningfully accelerate the productivity and impact of ML teams. •
Requirements
- Machine Learning is central to how Affirm delivers on its mission — powering decisions across underwriting, fraud, servicing, and personalization.
- We are seeking a Senior Manager to lead our ML Platform engineering organization, the team that builds and operates the critical infrastructure enabling every ML capability at Affirm.
- This is a high-impact, technically demanding role at the intersection of distributed systems, modern AI, and platform engineering.
- You will manage a team of engineering managers and stay deeply connected to the engineers building the platform, ensuring we continuously evolve ahead of Affirm's ML ambitions. What You'll Do
- Continuously evolve the platform to stay ahead of the frontier — anticipating where AI and ML are heading and building the infrastructure that makes those capabilities possible at Affirm before they become urgent needs.
- This includes large-scale training and serving of transformer-based models, GPU compute, reinforcement learning, and whatever comes next.
- Partner with ML modeling, product, and infrastructure leadership to ensure the platform accelerates Affirm's most critical ML initiatives.
- experience in software and/or machine learning engineering, with significant hands-on software engineering experience, including 4+ years managing engineering managers.
- Deep expertise in building and operating large-scale ML infrastructure — feature stores, model serving systems, training pipelines, or equivalent.
- Strong understanding of data — data pipelines, data quality, and how data shapes model behavior and platform design.
- Fluency with modern ML: deep neural networks, transformer architectures, reinforcement learning, large-scale GPU training and serving.
- Experience on the applied ML modeling side is a plus — understanding how models are built makes you a better platform builder. •
- Bachelor's degree in a technical field or equivalent practical experience. Pay Grade - R Equity Grade - 9
- Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office.
Experience
- 12+ years of industry
Benefits
- Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location,
- 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, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
- CAN base pay range per year: $209,000 - $269,000 #LI-Remote
- benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- 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
Additional details
- 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.
- Strong systems thinking — comfortable reasoning from low-level infrastructure decisions to broad architectural trade-offs.
- Experience navigating ambiguity and leading through organizational complexity.
- Affirm is proud to be a remote-first company! The majority of our 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.
- We believe It’s On Us 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.