Lead the ML Training & Serving team at Affirm, focusing on infrastructure and team development in a remote-first environment.
Skills & Technologies
Role intensity
10% coding — mostly leadership/strategy
Requirements
- Experience
- 7+ years
- Education
- Bachelor's degree
Benefits
Joblaze summary
The Engineering Manager for the Machine Learning Platform at Affirm will oversee a team of platform engineers, focusing on the development and execution of the ML training and serving roadmap. This role requires a strong background in building and managing ML infrastructure, with hands-on experience in model training and deployment workflows. Ideal candidates will have over seven years in software or machine learning engineering, including leadership experience, and a solid understanding of modern ML workloads. Affirm's remote-first culture emphasizes collaboration across teams to support high-priority ML initiatives.
Joblaze insights
- Listed today on Joblaze — tracked directly from Affirm's career page.
- Affirm has 189 other open roles including Product Security Engineer II, Product Security Engineer II, Engineering Manager, Machine Learning Platform.
- 281 active Machine Learning roles on Joblaze right now.
- 239 active distributed systems roles on Joblaze right now.
- 48 active GPU roles on Joblaze right now.
- Salary band is in line with the typical range for AI/ML roles (median ~$194,500).
- Pays more than 55% of the 187 salaried Machine Learning roles we track (median $192,100).
Quick facts
- Is the Engineering Manager, Machine Learning Platform role remote?
- Yes — Affirm lists this as a fully remote position.
- What's the salary range?
- Affirm lists $204,000–$290,000 for this role.
- How much experience is required?
- At least 7 years of relevant experience for this Engineering Manager, Machine Learning Platform role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Machine Learning, transformer architectures, distributed systems, GPU, Deep Learning.
- What seniority level is this role?
- Affirm targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Engineering Manager, Machine Learning Platform role at Affirm.
From the original posting
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 an Engineering Manager to lead our ML Training & Serving team. You will directly lead a team of platform engineers and combine effective people leadership with strong technical judgment in ML infrastructure. Working closely with senior ICs and partners across Machine Learning and Infrastructure, you will help shape the team’s roadmap, drive execution, and ensure the platform reliably supports Affirm’s ML priorities.
What You'll Do
- Partner with senior ICs and engineering leadership to define and execute the roadmap for ML training & serving, spanning model training, deployment workflows, GPU infrastructure, and low-latency model serving.
- Lead, coach, and grow a team of platform engineers while staying closely engaged in technical decisions and execution.
- Drive delivery and operational health for the team’s infrastructure, balancing reliability, developer experience, performance, and cost.
- Evaluate and adopt modern ML infrastructure capabilities as Affirm’s needs evolve, including transformer-based workloads and GPU compute.
- Collaborate with ML modeling, product, and infrastructure teams to ensure the platform supports Affirm’s highest-priority ML initiatives.
- Recruit, develop, and retain high-performing platform engineers.
What We Look For
- 7+ years of industry experience in software and/or machine learning engineering, including 2+ years managing engineers and meaningful hands-on software engineering experience.
- Strong experience building and operating production ML or distributed systems infrastructure, with hands-on experience in at least one of model training, model serving, deployment workflows, or GPU infrastructure.
- Solid understanding of ML data needs, including training datasets, data quality, reproducibility, and evaluation data.
- Familiarity with modern ML workloads, such as deep learning, transformer architectures, and large-scale training or serving.
- Strong systems thinking and the ability to partner with senior ICs on architectural trade-offs.
- Track record of delivering platforms or infrastructure that improve the productivity and impact of engineering or ML teams.
- Experience recruiting, coaching, and developing engineers across career stages.
- Effective cross-functional collaboration and the ability to lead through ambiguity.
- Experience with applied ML modeling is a plus.
- Bachelor’s degree in a technical field or equivalent practical experience.
Pay Grade - P
Equity Grade - 13
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, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000
USA base pay range (all other U.S. states) per year: $204,000 - $264,000
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. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive 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
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.
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