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Jobs in Greater Sudbury, Kanada

Machine Learning Engineer I

Machine Learning Engineer I
Affirm
Victoria
Remote
CAD 102.000 - 142.000
Dringend zu besetzen
Heute
Ich möchte über neue Stellenangebote in Greater Sudbury benachrichtigt werden.

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Machine Learning Engineer I

Sei unter den ersten Bewerbenden.
Affirm
Victoria
Remote
CAD 102.000 - 142.000
Sei unter den ersten Bewerbenden.
Heute
Jobbeschreibung

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.

Join the Affirm team as a Machine Learning Engineer and contribute to the success of our ML Underwriting team. We are the driving force behind Affirm's core value proposition, leveraging cutting-edge machine learning to assess creditworthiness throughout the life cycle of loan applications. 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. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you!

What you'll do
  • Use Affirm’s proprietary and other third-party data to develop machine learning models that predict the likelihood of default and make approval or decline decisions 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 engineering, credit, and product teams to define requirements for new products
What we look for
  • 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 programming skills in Python and SQL
  • Experience using large-scale distributed systems like Spark or Ray is a plus
  • Experience with open-source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow is a plus
  • Excellent written and oral communication skills and the ability 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 decision-making systems that enable consumers and partners to trust Affirm

Pay Grade - J

Equity Grade - CAN 4

Employees new to Affirm typically start at the beginning of the pay range. Affirm offers a simple, transparent pay structure based on location, experience, and skills.

Base pay is part of a total compensation package that may include stipends for health, wellness, tech spending, and benefits (including fully subsidized medical, dental, and vision coverage for you and dependents). Employees may also be eligible for equity rewards from Affirm Holdings, Inc., the parent company.

CAN base pay range per year: $102,000 - $142,000

LI-Remote

Affirm is proud to be a remote-first company! Most roles are remote, and you can work almost anywhere within the country of employment. Some roles may require occasional office visits.

Benefits

We’re proud to offer competitive benefits aligned with our core value of putting people first. Highlights include:

  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - stipends for Technology, Food, Lifestyle needs, and family expenses
  • Time off - vacation and holiday schedules to rest and recharge
  • ESPP - Employee stock purchase plan at a discount

We are committed to providing an inclusive interview process and offer reasonable accommodations for candidates with disabilities.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Affirm considers qualified applicants with arrest and conviction records, in compliance with local ordinances.

By submitting your application, you acknowledge reading Affirm's Global Candidate Privacy Notice and consent to the collection and use of your personal data as described.

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* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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