Be an early applicantLess than 25 applicants

Company

Original Job Post

Affirm · 2 days ago

Machine Learning Engineer, ML Fraud

Phoenix, AZ

Full-time

Onsite

Senior Level

$123K/yr - $185K/yr

5+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

Financial ServicesFinTech

H1B Sponsorship

Comp. & Benefits

Insider Connection @Affirm

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonSparkRayScikit-LearnPandasNumpyXgboostPytorchFraud Risk Domain KnowledgeDistributed SystemsProblem-SolvingCommunicationPresentationPersistencePatienceResponsibility

Required

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!

Benefits

Health care coverage

Flexible Spending Wallets

Time off

ESPP - Employee stock purchase plan

Company

Affirm

Glassdoor

3.8

Affirm is a financial technology services company that offers installment loans to consumers at the point of sale.

Founded in 2012

San Francisco, California, USA

1,001-5,000 employees

https://www.affirm.com

H1B Sponsorship

Affirm has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (80)

2022 (195)

2021 (143)

2020 (73)