Machine Learning Software Engineer - Remote

Overview

We are looking for a leader with a passion to develop novel machine learning software systems for credit modeling and default risk prediction, deploy the systems to production, and test them to ensure all users and merchants needs are covered.

In Short

• Drive a roadmap that applies Machine Learning technologies to content discovery, engagement, recommendation, predication, risk underwriting etc.
• Work with the leadership team to identify opportunities for using ML and drive solutioning in areas of Credit
• Work with stakeholders to show them the benefits of using your system and driving adoption of the product
• Designing scalable and deployable machine learning solutions
• Define performance and validation metrics and coach the team to achieve these
• Introduce and own the process of model building and the infrastructure behind it

Requirements

• 8+ years of software engineering experience and a proven track record of successfully architecting and taking ML systems to production.
• Designed and built multiple complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines for both data flows and algorithm execution
• Ability to explain and present analyses and machine learning concepts to a broad technical audience
• Have an extreme bias towards action. Basically, have the “Get Things Done” type of attitude.
• Be able to maintain high-performance within a high-energy and fast-paced work environment.
• You have a master degree or equivalent in Computer Science, Engineering, Mathematics or related field
• Working knowledge of PyTorch, Tensorflow or other similar frameworks is a plus
• Working experience of AWS SageMaker, Google Vertex is a plus

Benefits

• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
• 401K
• Translation/Interpretation support
• VISA sponsor + Relocation support