At a Glance
- Tasks: Lead the development of advanced fraud detection models and optimize data features.
- Company: Join Affirm, a leader in transforming financial transactions with machine learning.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by safeguarding transactions using cutting-edge machine learning technology.
- Qualifications: 6+ years in machine learning, proficient in Python, and strong coding skills.
The predicted salary is between 128700 - 157300 $ per year.
Shape the future of machine learning at Affirm as a Senior Machine Learning Engineer specializing in Fraud detection. This is a fully remote opportunity in Canada.
You will lead efforts in developing impactful machine learning models that safeguard transactions for consumers and merchants.
Collaborating closely with cross-functional teams, you will translate complex problems into effective solutions, ensuring that models maintain high reliability.
Your experience in Python and ML practices will drive the successful launch of fraud detection systems.
Key
Responsibilities
- Lead development of advanced fraud prediction models
- Construct and optimize feature datasets leveraging diverse signals
- Prototype innovative modeling ideas and assess performance
- Effectively integrate ML models into operational workflows
- Monitor fraud patterns and guide model retraining strategies
Requirements
- Minimum 6 years of experience in machine learning
- Proficient in Python and crafting production-quality code
- Strong knowledge of tabular data modeling techniques
- Familiarity with deep learning and distributed processing tools
- Experience with ML tools for orchestration and monitoring
Join Affirm and take part in transforming financial transactions through advanced machine learning solutions. #J-18808-Ljbffr
Senior ML Engineer – Remote in Winnipeg employer: Affirm
At Affirm, we pride ourselves on being a remote-first employer that values flexibility and inclusivity, allowing our Machine Learning Engineers to thrive in a supportive environment. With comprehensive health coverage, generous time-off policies, and opportunities for professional growth, we empower our employees to take ownership of their careers while contributing to meaningful projects that redefine credit. Join us in a culture that prioritizes transparency and collaboration, where your contributions directly impact the future of financial technology.
