Full-Time

Senior Machine Learning Engineer

Updated on 4/23/2024

Affirm

1,001-5,000 employees

Buy now, pay later financial services

Data & Analytics

Financial Services

Consumer Goods

Compensation Overview

$123,200 - $184,800Annually

+ Employee Stock Purchase Plan

Senior

Remote

Required Skills

Python

Data Structures & Algorithms

Pytorch

Apache Spark

Pandas

NumPy

Requirements

Bachelors in a technical field with 5+ years experience building and deploying ML models. Relevant PhD can count for up to 2 YOE
Proficiency in machine learning with experience in areas such as gradient boosting, online learning, and deep learning. Domain knowledge in fraud risk is a plus
Strong programming skills in Python
Experience using large scale distributed systems like Spark and Ray
Experience using machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch
Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
The ability to present technical concepts and results in an audience-appropriate way
Persistence, patience and a strong sense of responsibility

Responsibilities

Develop machine learning models to predict the likelihood of fraud
Partner with the ML platform team to build fraud specific ML infrastructure
Research and develop prototypes for fraud decisioning
Implement and scale data pipelines, new features, and algorithms essential to production models
Collaborate with engineering, fraud, and product teams to define requirements for new products
Develop fraud models to maximize user conversion while minimizing fraud losses and data costs

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.

Affirm’s Machine Learning team solves problems critical to our business model - personalizing shopping experiences, detecting fraud, optimizing interest rates, and assessing creditworthiness in real time. Our innovative products necessitate the creation of novel machine learning solutions to drive both existing and new products.

What You’ll Do

Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of fraud. These models will protect victims’ identities from being stolen, prevent Affirm from incurring financial loss, and increase the trust that consumers and partners have in the Affirm ecosystem
Partner with the ML platform team to build fraud specific ML infrastructure
Research ground breaking solutions and develop prototypes that drive the future of fraud decisioning at Affirm
Implement and scale data pipelines, new features, and algorithms that are essential to our production models
Collaborate with the engineering, fraud, and product teams to define requirements for new products
Develop fraud models to maximize user conversion while minimizing fraud losses and data costs

What We Look For

Bachelors in a technical field with 5+ years experience building and deploying ML models. Relevant PhD can count for up to 2 YOE
Proficiency in machine learning with experience in areas such as gradient boosting, online learning, and deep learning. Domain knowledge in fraud risk is a plus
Strong programming skills in Python
Experience using large scale distributed systems like Spark and Ray
Experience using machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch
Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
The ability to present technical concepts and results in an audience-appropriate way
Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm!

Pay Grade - CAN30

Employees new to Affirm or promoted into a new role, typically begin in the min to mid range.

CAN base pay range per year:

Min: $123,200

Mid: $154,000

Max: $184,800

Location - Remote CAN

#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.

[For U.S. positions that could be performed in Los Angeles or San Francisco] 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 the Affirm Employment Privacy Policy for applicants within the United States, the EU Employee Notice Regarding Use of Personal Data (Poland) for applicants applying from Poland, the EU Employee Notice Regarding Use of Personal Data (Spain) for applicants applying from Spain, or the Affirm U.K. Limited Employee Notice Regarding Use of Personal Data for applicants applying from the United Kingdom, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm

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Website

View Company Profile

Affirm offers a buy now, pay later service that allows consumers to make purchases and pay over time with transparent financial products. The main technologies used include JavaScript for the app, with a focus on improving consumer lives through transparent financial products.

Company Stage

IPO

Total Funding

$2.9B

Headquarters

San Francisco, California

Founded

2012

Growth & Insights

Headcount

6 month growth

↑ 0%

1 year growth

↓ -2%

2 year growth

↓ -2%

Benefits

Spending wallets: Access tech, food, lifestyle, and family planning wallets for your expenses

Supportive communities: Get involved with our employee resource groups and community groups

Remote-first workforce: If your role is remote, you can set up shop anywhere in your home country

Generous time off: Take the time you need when life happens

Health benefits: Get a plan that fits your needs

Mental healthcare: Take care of your mind with great mental health programs

Parental leave: Birth and non-birth parents get 18 weeks paid leave. Plus, a 4-week return-to-work transition program, at full base pay.

Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family.

Away days: We offer 24 company-wide paid days off—which help our teams collectively pause to recharge.

Learning & development: Engage in exciting learning programs to level up your growth.