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Jobs/Remote (United States)/Software Engineer II, Machine Learning (Feature Platform)
Remote (United States), US

Software Engineer II, Machine Learning (Feature Platform)

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. ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform.

Company
Affirm
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

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. ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. Responsibilities: - 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 Benefits: - 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 Company context: Affirm is the public buy-now-pay-later platform powering checkout financing for top retailers across North America.

Responsibilities

Day-to-day expectations

Affirm lists these responsibilities for the Software Engineer II, Machine Learning (Feature Platform) role.

  • 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
Benefits

Why people would want this job

Affirm published these compensation, benefits, or working-context details with the role.

  • 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
UpJobz market context

Why this listing is more than a copied job post.

Software Engineer II, Machine Learning (Feature Platform) is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.

Compensation read

The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.

Work authorization read

Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

Because this is remote, country scope and time-zone expectations matter as much as the title. Confirm the employer's allowed work locations on job-boards.greenhouse.io.

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Subscriber playbook

Turn this listing into an application plan.

This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.

Next moves

  • Tailor your resume around llm and machine-learning instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to software engineer ii, machine learning (feature platform) is a high-signal remote role in remote (united states), and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Artificial IntelligenceRemotellmmachine-learningpythonkubernetes

Watchouts

  • Compensation is hidden, so get range clarity in the first recruiter conversation.
  • Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
  • Lead with distributed collaboration, async delivery, and timezone discipline.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

llmmachine-learningpythonkubernetesawsdataproductplatformapifintechpaymentskotlinml
Next step

Apply through the employer source

Open the source listing from job-boards.greenhouse.io, confirm the role is still active, then apply on the employer or ATS page.

Open employer application

Source: job-boards.greenhouse.io Β· Source ID: 7694296003 Β· Confidence: 89/100 Β· Last checked: May 7, 2026

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