2,235,045open jobs
143,968companies
256,069added this week
Browse all
Salary
$107k – $149k per year
Location
Remote (Canada)also open in United States
Seniority
Senior · 4+ years exp
Visa
Positions approved through LMIA in 12 months: 5 · for this role: 5

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 12, 2026. Affirm scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Affirm is an American consumer lending company founded in San Francisco in 2012 that offers instalment loans at the point of sale, an approach usually described as buy now pay later. Unlike revolving credit it underwrites each purchase individually, discloses total cost up front and does not charge late fees, earning revenue from merchant fees on interest-free plans and from interest on longer-term loans. The company is listed on Nasdaq, partners with large retailers and marketplaces including Amazon and Shopify, and also issues a debit card that lets shoppers split purchases after the fact.

At Affirm, we exist for the moments that matter-giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

About the Engineering team 

The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering.

About the team

ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. 

ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning.

As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes: 

  • Feature creation, exploration, and serving
  • Data storage, availability, and visibility
  • Offline backfilling infrastructure and platform improvements

This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals.

We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company.

What you’ll do

  • You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
  • You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
  • You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
  • You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
  • You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
  • You will help develop talent on your team by providing feedback and guidance, and leading by example.

What we look for

  • You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
  • You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
  • You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
  • You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
  • 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.

Base Pay Grade - N

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 monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

CANbase pay range per year: $153,000 - $213,000

Location - Remote Canada

This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.

Remote-first with flexibility built in

Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.

Benefits designed for you

Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:

  • Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
  • Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
  • Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
  • Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.

By clicking "Submit Application," you acknowledge that you have read Affirm's  Global Candidate Privacy Notice and consent to the use of your personal information as described.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,235,045 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
Canada
Senior AI Engineer 1 hour ago
Remote (India) · 8+ years exp · India
Python
SQL
Databases
Neo4j
Databricks
AI/ML
LangGraph
LangChain
Spark
Fine-tuning
Embeddings
Prompt Engineering
AI Agents
TensorFlow
PyTorch
LLM
RAG
Hybrid Search
OpenAI
LLMOps
LLM Guardrails
Multi-Agent Systems
DevOps
Azure
CI/CD
Apply
$230k – $322k per year · Equity · Remote (United States) · 7+ years exp · New York
Python
Databases
Google BigQuery
AI/ML
Fine-tuning
Embeddings
Multimodal AI
NLP
TensorFlow
PyTorch
LLM
Ray
Knowledge Graph
Recommender Systems
Machine Learning
DevOps
GCP
Kubernetes
Apply
Remote (Brazil) · Brazil
Java
Java
Spring Boot
Databases
Databricks
Apache Kafka
AI/ML
Claude Code
Model Context Protocol
DevOps
Terraform
OpenTelemetry
AWS CDK
AWS
Amazon EventBridge
Apply
Remote (Canada) · Canada
Python
Python
pySpark
AI/ML
Cursor
Claude
Hadoop
Spark
LoRA
vLLM
Fine-tuning
Reinforcement Learning
Quantization
Knowledge Distillation
PEFT
QLoRA
AWS Bedrock
PyTorch
LLM
Synthetic Data
Amazon SageMaker
PPO
GRPO
AWS Trainium
Context Engineering
Recommender Systems
Model Distillation
DevOps
AWS
IAM
Robotics
Reinforcement Learning
Apply
Remote (Poland) · 3+ years exp
SQL
C#
C#
.NET
AI/ML
OpenAI
DevOps
Rest API
Azure
SOAP
Management
UiPath
Apply
$52k – $109k per year · Hybrid · 5+ years exp · Canada
Apply
$47k – $77k per year · Hybrid · 3+ years exp · Canada
Apply
In office · Canada
Apply
$36k – $38k per year · Hybrid · Contractor · 1+ year exp · Toronto
Apply
$49k – $56k per year · Hybrid · Full-Time · 3+ years exp · Bachelor's Degree · Canada
JavaScript
SQL
DevOps
Rest API
Git
AWS
Bitbucket
Management
Confluence
Apply
See all jobs
This is one of many
2,235,045 more open roles from verified company boards, updated every day.