Remitly's Trust Machine Learning team protects customers by developing intelligent systems that prevent fraud. These systems assess the risk of every transaction and customer interaction, while minimizing the impact on user experience and customer trust.
Requirements
- 5+ years of experience building and deploying machine learning and/or data-intensive systems
- 5+ years of programming experience in Python, Go, Scala, or equivalent
- 2+ years of experience with distributed or stream processing frameworks (e.g., Apache Spark, Apache Flink, Ray)
- Experience working with cloud platforms (e.g., AWS, GCP, Azure)
Responsibilities
- Build scalable, reliable feature engineering pipelines for batch, streaming, and real-time features consumed by a diversity of machine learning models
- Collaborate with data scientists, engineers, and business stakeholders to operationalize intelligent systems to identify risk transactions and behavior
- Optimize model performance, ensuring system reliability and model monitoring by championing MLOps best practices
- Lead and mentor peers through regular design reviews, architectural discussions, code reviews, and other technical activities
- Build feature engineering pipelines by integrating with rich data sources
- Optimize model performance by exploring new techniques and algorithms
- Ensure the quality of live production models
Other
- This is a role is based in Remitly's office in Seattle, Washington.
- For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week.
- Equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.
- Remitly is an E-Verify Employer
- Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
