Affirm

3 months ago

Senior 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: 44 minutes agoStatus: Live

Job Summary

Lead and scale the ML Platform engineering org, shaping the technical strategy for real-time and batch feature computation, model training infrastructure, and large-scale model serving. Manage engineering managers while staying hands-on with direction, partnering across ML modeling, product, and infra leadership to accelerate critical ML initiatives and elevate reliability, observability, and developer experience.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key 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.
•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.
•Partner with ML modeling, product, and infrastructure leadership to ensure the platform accelerates Affirm's most critical ML initiatives.
•Establish engineering excellence across the organization: reliability, observability, developer experience, and operational rigor.

Pay and Benefits

Salary: USD 232,000 - 310,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceTime OffEspp

Key Requirements

•12+ years of industry experience in software and/or machine learning engineering, 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
•Bachelor's degree in a technical field or equivalent practical experience

Experience:12+ yearsMachine learningSoftware engineeringAI

Education:Bachelor's

Skills:LeadershipCommunicationStrategic planningProblem-solving

Languages:English

Tech Stack:TransformerGPUFeature storeModel servingTraining pipelinesDistributed systems

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 months ago

Senior 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: 44 minutes agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key 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.
•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.
•Partner with ML modeling, product, and infrastructure leadership to ensure the platform accelerates Affirm's most critical ML initiatives.
•Establish engineering excellence across the organization: reliability, observability, developer experience, and operational rigor.

Pay and Benefits

Salary: USD 232,000 - 310,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceTime OffEspp

Key Requirements

•12+ years of industry experience in software and/or machine learning engineering, 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
•Bachelor's degree in a technical field or equivalent practical experience

Experience:12+ yearsMachine learningSoftware engineeringAI

Education:Bachelor's

Skills:LeadershipCommunicationStrategic planningProblem-solving

Languages:English

Tech Stack:TransformerGPUFeature storeModel servingTraining pipelinesDistributed systems

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