Learning Specialist Jobs at Affirm with Visa Sponsorship
Learning Specialist jobs at Affirm sit at the intersection of financial technology and employee development, supporting teams across compliance training, product onboarding, and leadership programs. Affirm has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates with instructional design or L&D backgrounds.
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Get Access To All JobsINTRODUCTION
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.
On the Servicing ML team, you will build and improve machine learning and AI systems that automate customer operations such as disputes, returns, fraud, and chargebacks to make the best decisions for Affirm and our customers. You will work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring.
ROLE AND RESPONSIBILITIES
-
You will develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.
-
You will build models that automate refunds, getting money back to our customers faster.
-
You will build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.
-
You will prototype new modeling ideas, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.
-
You will collaborate across Engineering, Servicing Operations, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences.
BASIC QUALIFICATIONS
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You have a total of 2+ years of experience as a machine learning engineer.
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Strong Python skills and experience writing production-quality code.
-
Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost).
-
Experience building applications with LLM APIs (e.g., OpenAI, Anthropic), including structured extraction, prompt engineering, and orchestration frameworks like LangChain or LangGraph.
-
Familiarity with document and unstructured data processing (PDF/image extraction, text parsing, or similar).
-
Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms).
-
Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows.
-
You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
-
You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
-
Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
-
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
-
This position requires either equivalent practical experience or a Bachelor's degree in a related field.
PREFERRED QUALIFICATIONS
Base Pay Grade - L
Equity Grade - 6
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: $160,000 - $210,000
USA base pay range (all other U.S. states) per year: $142,000 - $192,000
WORK ARRANGEMENT
LI-Remote
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.
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.
INTRODUCTION
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.
On the Servicing ML team, you will build and improve machine learning and AI systems that automate customer operations such as disputes, returns, fraud, and chargebacks to make the best decisions for Affirm and our customers. You will work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring.
ROLE AND RESPONSIBILITIES
-
You will develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.
-
You will build models that automate refunds, getting money back to our customers faster.
-
You will build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.
-
You will prototype new modeling ideas, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.
-
You will collaborate across Engineering, Servicing Operations, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences.
BASIC QUALIFICATIONS
-
You have a total of 2+ years of experience as a machine learning engineer.
-
Strong Python skills and experience writing production-quality code.
-
Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost).
-
Experience building applications with LLM APIs (e.g., OpenAI, Anthropic), including structured extraction, prompt engineering, and orchestration frameworks like LangChain or LangGraph.
-
Familiarity with document and unstructured data processing (PDF/image extraction, text parsing, or similar).
-
Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms).
-
Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows.
-
You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
-
You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
-
Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
-
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
-
This position requires either equivalent practical experience or a Bachelor's degree in a related field.
PREFERRED QUALIFICATIONS
Base Pay Grade - L
Equity Grade - 6
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: $160,000 - $210,000
USA base pay range (all other U.S. states) per year: $142,000 - $192,000
WORK ARRANGEMENT
LI-Remote
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.
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.
See all Learning Specialist Jobs at Affirm
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Learning Specialist Jobs at Affirm.
Get Access To All JobsTips for Finding Learning Specialist Jobs at Affirm
Frame credentials around regulated industry training
Affirm operates under financial services compliance requirements, so tailor your portfolio to show experience designing mandatory compliance, risk, or regulatory training. Hiring teams for Learning Specialist roles prioritize candidates who understand high-stakes, audit-ready learning environments.
Target Affirm's distributed workforce learning needs
Affirm runs a remote-first organization, so your application should highlight experience building scalable digital learning programs, not classroom facilitation. Roles often require ownership of LMS administration and asynchronous content delivery across multiple time zones.
Confirm LCA posting before accepting an offer
Before your H-1B or TN filing begins, Affirm's legal team must post a certified Labor Condition Application from the DOL for your specific role and worksite. Ask your recruiter to confirm this step is underway before you give notice to a current employer.
Use Migrate Mate to surface open Learning Specialist roles
Affirm posts Learning Specialist openings across multiple channels at varying times. Use Migrate Mate to filter verified sponsorship-eligible positions at Affirm directly, so you're applying to roles where visa support is already confirmed rather than guessing from a standard job board.
Understand how F-1 OPT bridges to H-1B at fintech employers
If you're on F-1 OPT, Affirm can employ you while sponsoring an H-1B in the next lottery window. STEM OPT gives you up to 24 additional months of work authorization, which is often enough runway to clear the H-1B cap-subject process without a gap.
Prepare for PERM documentation early if targeting Green Card
EB-2 and EB-3 PERM filings require Affirm to document that no qualified U.S. workers were available for your exact role. Start organizing transcripts, professional certifications, and prior employment verification now so the DOL recruitment period can begin without delays on your end.
Frequently Asked Questions
Does Affirm sponsor H-1B visas for Learning Specialists?
Yes, Affirm sponsors H-1B visas for Learning Specialist roles. Affirm has an established pattern of filing H-1B petitions for corporate functions including learning and development. Because the H-1B is cap-subject, timing matters: your employer must register you in the annual USCIS lottery, typically in March, for an October 1 start date. Candidates already on H-1B with another employer can transfer without waiting for the lottery.
How do I apply for Learning Specialist jobs at Affirm?
Apply through Affirm's careers page or use Migrate Mate to browse verified sponsorship-eligible Learning Specialist openings at Affirm directly. Tailor your resume and portfolio to reflect instructional design for distributed, compliance-heavy environments. Affirm's hiring process typically includes a portfolio or work sample review, so prepare examples of e-learning modules, onboarding programs, or regulatory training you've built end-to-end.
Which visa types does Affirm commonly use for Learning Specialist roles?
Affirm sponsors H-1B, TN visa, F-1 OPT, F-1 CPT, and Green Card pathways including EB-2 and EB-3 for Learning Specialist positions. H-1B is the most common route for full-time hires. TN visa is available to Canadian and Mexican nationals with qualifying degrees. F-1 OPT and CPT allow students to work while studying or immediately after graduation, with STEM OPT providing an extended authorization window.
What qualifications does Affirm expect for Learning Specialist roles?
Affirm typically looks for a bachelor's degree in instructional design, education, organizational development, or a related field, along with hands-on experience building digital learning programs. Familiarity with LMS platforms, e-learning authoring tools like Articulate or Adobe Captivate, and experience designing content for compliance or regulated industries strengthens your application. For specialty occupation H-1B eligibility, your degree field must align directly with the role's core responsibilities.
How do I navigate the timeline from offer to visa approval at Affirm?
For H-1B transfers or cap-exempt filings, USCIS standard processing takes three to five months; premium processing cuts this to roughly 15 business days. For cap-subject H-1B petitions, the process runs on a fixed annual calendar with lottery registration in March and work authorization beginning October 1. Build this timeline into your negotiation with Affirm's recruiting team so your start date aligns with when your authorization will actually be in place.