# Machine Learning Engineer II (ROA + LTV ML)

**Company**: Affirm
**Location**: Remote Canada
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $133,000 - $183,000
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/affirm/jobs/8033261003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_728e5986-92f

## Description

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.

As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape.

## Responsibilities

- Use Affirm’s proprietary and other third-party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives.

- Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems.

- Research groundbreaking solutions and develop prototypes that drive the future of credit decisioning at Affirm.

- Implement and scale data pipelines, new features, and algorithms that are essential to our production models.

- Collaborate with the engineering, credit, and product teams to define requirements for new products.

## Requirements

- 2+ years of experience as a machine learning engineer or PhD in a relevant field.

- Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus.

- Strong engineering skills in Python and data manipulation skills like SQL.

- Experience using large-scale distributed systems like Spark or Ray.

- Experience using open-source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow.

- Experience developing machine learning models at scale from inception to business impact.

- 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.

## Benefits

- 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.

## Salary

- Base pay range per year: $133,000 - $183,000 CAD

## Skills

### Required
- Python
- SQL
- Generalized Linear Models
- Gradient Boosting
- Deep Learning
- Probabilistic Calibration
- Spark
- Ray
- scikit-learn
- pandas
- NumPy
- XGBoost
- Kubeflow

### Nice to have
- credit risk

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/affirm/jobs/8033261003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)