Experienced Machine Learning Engineer

Plaid powers financial tools that millions rely on, connecting financial accounts to apps and services across 12,000 institutions in the US, Canada, UK and Europe.
$203,040 - $303,480
Machine Learning
Senior Software Engineer
Hybrid
5+ years of experience
Finance · AI

Description For Experienced Machine Learning Engineer

Plaid, a leading fintech company, is seeking an Experienced Machine Learning Engineer to join their Data team in San Francisco. The role focuses on building models that enhance how millions of users understand and manage their financial lives. As part of Plaid's mission to unlock financial freedom for everyone, you'll work on applying cutting-edge ML techniques including NLP, anomaly detection, and time series forecasting.

The position offers an opportunity to work with a company that powers thousands of financial applications and services, including Venmo, SoFi, and several Fortune 500 companies. You'll be responsible for designing, building, and deploying scalable ML solutions that directly impact millions of users across the US, Canada, UK, and Europe.

The ideal candidate brings 5+ years of experience in production ML systems, strong technical skills in Python and distributed systems, and the ability to work collaboratively across teams. You'll lead experimentation with new modeling approaches while working closely with skilled engineers to productionize these solutions.

This role offers competitive compensation ($203,040 - $303,480) plus equity, comprehensive benefits, and the chance to work in a hybrid environment. Join a team that values creativity, user empathy, and technical excellence while building the future of financial services technology.

Last updated 2 months ago

Responsibilities For Experienced Machine Learning Engineer

  • Build impactful solutions empowering millions of users through Fintech applications
  • Experiment with cutting edge ML modeling techniques
  • Work on both early-stage and scaling problems
  • Develop AI/ML models in full lifecycle from offline training to online serving and monitoring
  • Collaborate with teams to define ML roadmap
  • Apply data-driven decisions in day-to-day work
  • Work in a high ownership, bottom-up driven team

Requirements For Experienced Machine Learning Engineer

Python
  • 5+ years in training and serving AI/ML models in production environment
  • Experience in building/working with data intensive backend applications in large distributed systems
  • Ability to code with Python, Spark, Jupyter notebooks, standard ML libraries
  • Take pride in taking ownership and driving projects to business impact
  • Data analytics and data engineering experience
  • Experience with industry application of NLP is a plus
  • Experience with the FinTech industry is a plus
  • Ability to work with technical and non-technical teams
  • Master's degree or equivalent work experience in Computer Science, Mathematics, Engineering, or related field

Benefits For Experienced Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan
  • Equity compensation

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