Build with impact. Your work will empower millions of users through well-known and emerging Fintech Applications with access to financial services.
Experiment with cutting edge ML modeling techniques.
Work on both 0-1 stage problems as well as 1-10.
Develop AI/MLmodels in a full life cycle, from offline training to online serving and monitoring.
Collaborate with teams across Plaid to define ML roadmap.
Dive deep into data and apply data driven decisions in day-to-day work.
A high ownership, bottom-up driven team.

Requirements

5+ years in training and serving AI/ML models in a production environment.
Experience in building/working with data intensive backend applications in large distributed systems.
Ability to code and iterate independently on top of data infrastructure tools like Python, Spark, Jupyter notebooks, standard ML libraries, etc.
Take pride in taking ownership and driving projects to business impact.
Data analytics and data engineering experience is a plus.
Experience with the 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 a closely related field.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI modelsML modelsdata analyticsdata engineeringNLPPythonSparkJupyter notebooksML libraries

Soft Skills

ownershipcollaborationdata driven decision makingindependent codingproject management

Certifications

Master's degree in Computer ScienceMaster's degree in MathematicsMaster's degree in Engineering