Engineering Manager, AI Quality
Harvey
Engineering Manager – Machine Learning
Plaid
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $268,800 - $400,000 per year
Job Level
SeniorLead
About the role
- Leading a talented ML team that builds systems powering growth, personalization, and financial insights across CGX, EWA, and NEA.
- Working hands-on in ML model development and productionization, driving business impact.
- Partnering with product and platform teams to turn data and models into production features that reach millions of users.
- Shaping Plaid’s broader ML ecosystem by influencing technical standards, shared pipelines, and model development best practices.
- Growing as a leader who balances deep technical engagement with long-term organizational and strategic impact.
Requirements
- 7+ years of industry experience developing machine learning models from inception to business impact. Proven ability to tailor your solutions to business problems in a cross functional team
- 3+ years of experience in DS/ML managerial role
- Deep understanding of modern machine learning techniques and their mathematical models, such as classification, clustering, optimization, deep neural network and natural language processing
- Strong product intuition and excitement to work fast and iteratively
- Proven track record of strategic influence by partnering with key stakeholders to shape and launch cutting-edge ML-driven products that drive revenue and market growth.
- Data analytics and data engineering experience is a plus
- Bachelor's degree or equivalent work experience in Computer Science, Mathematics, Engineering, Economics, or a closely related field.
Benefits
- Comprehensive benefit plan, including medical, dental, vision, and 401(k).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningML model developmentclassificationclusteringoptimizationdeep neural networksnatural language processingdata analyticsdata engineering
Soft skills
leadershipstrategic influenceproduct intuitioncollaborationcommunication
