Software Engineer, Machine Learning Infrastructure - Signal Product
United States /
Engineering – Engineering /
Full-time
/ Remote
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We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. 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. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Salt Lake City, Washington D.C., London and Amsterdam. #LI-Remote
The Signal team is responsible for building out the APIs, systems and customer-facing experiences that power Plaid’s risk assessment products for bank payments. This team works closely with a ML modeling team to deliver sophisticated risk predictions as well as direct signals that customers use to understand and manage risk on their payment flows.
As a software engineer on the Signal team, you will work on tooling and infrastructure that facilitates the entire life cycle of our risk ML models, from experimentation to productionisation, evaluation, and metrics. You will also work on tooling and infrastructure that facilitates the entire life cycle of our risk data and features. Your work will contribute to the rapid growth of an innovative product.
What excites you
- Build tools and infrastructure that enables 10X efficiency
- Build products with real impact: your work will touch tens of millions of end-users, the best applications in FinTech, and major financial institutions
- Passionate about applying Machine Learning to real-world problems, especially financial fraud
- Working on both the 0 to 1 stage and the 1 to 10 stage of problems
What excites us
- 2+ years of software engineering experience
- Experience in building production infrastructure for machine learning feature engineering or model training, evaluating, and deploying
- End-to-end process ownership and customer obsession
$162,000 - $243,000 a year
Target base [salary/wage] for this role is [between $162,000 and $247,500] per year. 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.
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 [email protected]
Please review our Candidate Privacy Notice here.
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