Senior Machine Learning Engineer - Credit

Responsibilities

• Build machine learning systems that empower millions of users through well-known and emerging fintech applications with access to financial services
• Experiment with cutting-edge machine learning modeling techniques across high-impact credit use cases
• Work on both 0-1 stage problems and scaling systems from 1-10
• Develop AI and machine learning models across the full lifecycle, from offline training to online serving and monitoring
• Design, build, and deploy scalable ML solutions and systems in a production environment
• Collaborate with teams across Plaid to define the machine learning roadmap
• Dive deep into data and apply data-driven decision-making in day-to-day work
• Operate with high ownership on a bottom-up driven team

Requirements

• 6+ years of experience training and serving AI and machine learning models in a production environment
• Experience in fintech lending, with a strong understanding of how models are built in that space
• Experience building or working with data-intensive backend applications in large distributed systems
• Ability to code and iterate independently using tools such as Python, Spark, Jupyter notebooks, and standard machine learning libraries
• Strong ownership mindset and a track record of driving projects to business impact
• Ability to work effectively with both technical and non-technical teams
• Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field

Nice to Haves

• Data analytics and data engineering experience