Staff Data Scientist Machine Learning - Credit

Plaid • San Francisco, CA

73d • $253,200 - $400,000

About The Position

At Plaid, our Data team builds the intelligent systems that help millions of people better understand and improve their financial lives. We’re looking for Machine Learning Engineers who are passionate about applying advanced modeling and machine learning techniques—such as natural language processing, anomaly detection, optimization, and time series forecasting—to create meaningful product impact. As a Machine Learning Engineer within Plaid's Data organization, you will be responsible for designing, building, and scaling machine learning solutions that drive core product experiences. You will take the lead on initiatives to experiment with innovative modeling approaches, deploy production-ready systems, and work closely with engineers and data scientists to translate raw data into valuable insights. If you are passionate about advancing state-of-the-art ML to empower financial freedom for all, we encourage you to apply.

Requirements

• 8+ years of experience developing, training, and deploying ML models in production environments
• Proven experience building and maintaining data-intensive backend applications within large, distributed systems
• Strong programming skills in Python and familiarity with tools such as Spark, Jupyter, and standard ML libraries
• Background in fintech or other data-rich, regulated domains
• Demonstrated ability to take ownership and drive projects from concept to measurable business impact
• Solid understanding of data engineering and analytics concepts
• Skilled at collaborating across technical and non-technical teams
• Master’s degree (or equivalent experience) in Computer Science, Mathematics, Engineering, or a related field

Nice To Haves

• Hands-on experience with data engineering or analytics tooling
• Experience applying NLP techniques in production systems

Responsibilities

• Hands-on develop, productionize, and operate Machine Learning models and pipelines to improve a diverse range of Plaid products.
• Continuously proposing and developing new features to improve the AI/ML model performance.
• Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle.
• Debugging ML production issues and ensuring stable model serving.
• Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.

Benefits

• Comprehensive benefit plan, including medical, dental, vision, and 401(k)
• Additional compensation in the form(s) of equity and/or commission

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 501-1,000 employees