The Role

We are currently seeking a Machine Learning Engineer to join our operating platform group! In this role, you will have the opportunity to apply the newest technology stacks to build and improve proprietary trained models that transform unstructured information into accurate financial data. We look for dedicated machine learning professional with real technical depth and a desire to solve complex problems related to financial data in a modern way. If you've designed complex scalable systems, or worked with great teams on hard problems in financial data, or are just interested in solving really hard technical, mission-critical problems, come join us!

What You’ll Do

• Design, build and train supervised and unsupervised machine learning models.
• Design and evolve machine learning pipeline for applications across the stack.
• Optimize machine learning and relevant data processing code for scale and robustness
• Document software functionality, system design, and project plans; this includes clean, readable code with comments.

Who You Are

• Proficiency with machine learning methodologies.
• Good knowledge of hosted and open source ML services like AWS SageMaker, Google Cloud ML, TensorFlow or others
• Experience with methods and tools (Textract, ABBYY) for extracting relationships, structure and text from documents.
• Proficiency in Python, R or other programming languages
• Experience working with Relational or NoSQL database storage
• Ability to communicate with all levels of stakeholders on a technical level.
• A strong ownership mentality and aim to take on the most ambitious problems.
• AWS experience is a plus.
• B.S., M.S., or Ph.D. in Computer Science or similar technical field of study (or equivalent practical experience.).