Machine Learning Engineer

Design and develop machine learning solutions for online payments financial crime prevention, drive innovation, and work closely with operation teams to create and adapt machine learning based financial crime prevention mechanisms while focusing on customer experience and business growth.

Requirements

• MSc or PhD degree in Computer Science, Machine Learning, or related technical field
• Minimum 3 years of professional experience in machine learning
• Solid understanding of machine learning fundamentals
• Strong analytical skills
• Proven ability to implement, debug, and deploy machine learning systems in industry
• Experience in at least one of the following deep learning applications: Computer Vision, Natural Language Processing or Speech Recognition
• Familiarity with graph algorithms and graph databases
• Ability to conduct applied research and bring it to production solutions
• Proficiency in Python programing
• Proficiency in SQL
• Experience with Tensorflow/PySpark or another popular ML framework
• Experience working with cloud technology stack (AWS, Azure, etc.) and developing machine learning systems in a cloud environment
• Ability to write high-quality code
• Result oriented team player
• Strong communication skills and excellent spoken and written English

Benefits

• 401k Matching
• Retirement Plan
• Generous Paid Time Off
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance