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
• Own AI and machine learning work across the full model lifecycle, from offline training to online serving and monitoring

Qualifications

• 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
• 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
• Able 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

Benefits

Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k).

Pay

Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Compensation Range

$228,960 - $315,360