Affirm

3 days ago

Engineering Manager, Machine Learning Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Lead the ML Training & Serving team by partnering with senior ICs and engineering leadership to define and execute the roadmap across model training, deployment workflows, GPU infrastructure, and low-latency model serving. Manage and grow a team of platform engineers while staying hands-on in technical decisions. Drive delivery and operational health balancing reliability, performance, developer experience, and cost, and collaborate cross-functionally to support Affirm’s top ML initiatives.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Partner with senior ICs and engineering leadership to define and execute the roadmap for ML training and serving across training, deployment workflows, GPU infrastructure, and low-latency serving.
•Lead, coach, and grow a team of platform engineers while remaining engaged in technical decisions and execution.
•Drive delivery and operational health across reliability, developer experience, performance, and cost.
•Evaluate and adopt modern ML infrastructure capabilities as 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.

Pay and Benefits

Salary: USD 204,000 - 290,000 annually

Perks:Health InsuranceDentalVisionTime OffEquity

Key Requirements

•7+ years of industry experience in software and/or machine learning engineering, including 2+ years managing engineers.
•Hands-on experience building and operating production ML or distributed systems infrastructure, including model training, model serving, deployment workflows, or GPU infrastructure.
•Strong 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.
•Bachelor’s degree in a technical field or equivalent practical experience.

Experience:7+ yearsMachine learningDistributed systemsDeep learning

Education:Bachelor's

Skills:People leadershipTechnical judgmentSystems thinkingCross-functional collaborationLeading through ambiguity

Tech Stack:Transformer architecturesGPU infrastructureGPU computeModel trainingModel servingDeployment workflowsDistributed systemsLow-latency model serving

Company Brief

Affirm

Provides point-of-sale lending and buy-now-pay-later (BNPL) solutions for consumers and merchants, enabling installment payments, consumer financing, and embedded financial services through APIs and partnerships with retailers and platforms.

Industry: Lending

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Website LinkedIn

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Affirm

3 days ago

Engineering Manager, Machine Learning Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Partner with senior ICs and engineering leadership to define and execute the roadmap for ML training and serving across training, deployment workflows, GPU infrastructure, and low-latency serving.
•Lead, coach, and grow a team of platform engineers while remaining engaged in technical decisions and execution.
•Drive delivery and operational health across reliability, developer experience, performance, and cost.
•Evaluate and adopt modern ML infrastructure capabilities as 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.

Pay and Benefits

Salary: USD 204,000 - 290,000 annually

Perks:Health InsuranceDentalVisionTime OffEquity

Key Requirements

•7+ years of industry experience in software and/or machine learning engineering, including 2+ years managing engineers.
•Hands-on experience building and operating production ML or distributed systems infrastructure, including model training, model serving, deployment workflows, or GPU infrastructure.
•Strong 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.
•Bachelor’s degree in a technical field or equivalent practical experience.

Experience:7+ yearsMachine learningDistributed systemsDeep learning

Education:Bachelor's

Skills:People leadershipTechnical judgmentSystems thinkingCross-functional collaborationLeading through ambiguity

Tech Stack:Transformer architecturesGPU infrastructureGPU computeModel trainingModel servingDeployment workflowsDistributed systemsLow-latency model serving

Company Brief

Affirm

Industry: Lending

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Website LinkedIn