Plaid
Machine Learning Engineer - Embedded Insights
San Francisco HQ
Sponsorship not specifiedDetected 34 days ago
PythonSQLMachine LearningData ScienceData VisualizationStatistics
About the role
- We believe that the way people interact with their finances will drastically improve in the next few years.
- We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.
Responsibilities
- Build products that empower millions of people to achieve financial freedom and opportunity.
- We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.
- The Embedded Insights team supports Plaid's mission to build a world-class suite of intelligence products.
Requirements
- Ability to analyze large and complex financial datasets to derive insights.
- Advanced degree or equivalent work experience in Statistics, Economics, Mathematics, Data Science, or a related field.
- Proficiency in SQL, Python, and data visualization/analysis tool.
- Ability to clearly communicate complex technical systems and decision making.
- 5+ years of experience in machine learning, including deploying machine learning models into real-world, customer facing systems.
- High agency and creativity
- experience identifying, defining, and proposing high impact machine learning opportunities.
- Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
- Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
- Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). 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.
Skills
- Plaid powers the tools millions of people rely on to live a healthier financial life.
Compensation
- Additional compensation in the form(s) of equity and/or commission are dependent on the position offered.
Benefits
- We identify the best opportunities to use machine learning in Plaid products, prove out those opportunities, and collaborate with cross-functional partners to turn them into real world production systems.
- As a Machine Learning Engineer on the Embedded Insights team, you will drive machine learning initiatives from concept to production, working across the full model development lifecycle.
- You will leverage Plaid's unique datasets to identify high-impact opportunities for machine learning, develop proofs of concept to validate new approaches, and build MVP solutions that demonstrate customer value.
Company info
- Work closely with customers to ensure products meet their needs and demonstrate true impact.
- Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
This listing is sourced directly from Plaid's careers page and normalized into a canonical job model.