Staff Machine Learning Engineer Fraud Data
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We believe that the way people interact with their finances will drastically improve in the next few years. Were 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. Plaids network covers 12000 financial institutions across the US Canada UK and Europe. Founded in 2013 the company is headquartered in San Francisco with offices in New York Washington D.C. London and Amsterdam.
The Data team within Plaids Fraud organization builds the machine learning systems that power Plaids cutting-edge fraud detection products. By leveraging Plaids extensive network data we enable proactive fraud preventionstopping fraud before it happens. Our team owns the entire ML lifecycle from developing feature pipelines and training models to deploying and monitoring them in production. We ensure that our systems scale reliably and efficiently as Plaid continues to grow and support hundreds of customers.
As a Staff Machine Learning Engineer on Plaids Fraud Data team you will design and build scalable ML infrastructure that powers our industry-leading fraud detection product. Youll lead the evolution of our model deployment monitoring and observability frameworks to ensure high reliability and performance at scale. Collaborating closely with teams across ML Infrastructure Product and Engineering youll deliver robust systems that protect users and customers from addition youll mentor other engineers and help shape the long-term technical vision and strategy of the Fraud Data team.
***We are open to remote candidates for this role***
Responsibilities
- Design and build scalable ML infrastructure for Plaids fraud detection product
- Working at a fast-pace environment to build a rapidly growing product with a championship team
- Solving complex problems at the intersection of ML systems data and reliability
- Building the foundations for fraud detection on the largest financial dataset in the world
- Collaborating with talented engineers and data scientists across Plaid
Qualifications
- 8 years total experience with at least 5 years building and deploying production ML systems.
- Proven experience in machine learning infrastructure/operations.
- Demonstrated technical leadership and architectural vision driving systems from concept to production.
- Proficiency in Python PyTorch Spark SageMaker and Airflow or equivalent technologies.
- Nice to have - experience working in fraud detection risk modeling or financial security domains.
- Nice to have - background in graph machine learning or related techniques.
$192000 - $400000 a year
The target base salary for this position ranges from $192000/year to $400000/year in Zone 1. The target base salary will vary based on the jobs location.
Our geographic zones are as follows:
Zone 1 - New York City and San Francisco Bay Area
Zone 2 - Los Angeles Seattle Washington D.C.
Zone 3 - Austin Boston Denver Houston Portland Sacramento San Diego
Zone 4 - Raleigh-Durham and all other US cities
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 doesnt 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 emailprotected.
Please review our Candidate Privacy Noticehere.
Required Experience:
Staff IC
Key Skills
- Electrical
- Academics
- Customer Service
- Computer Data Entry
- Cardiac Surgery
- Freight Forwarding
About Company
Plaid helps all companies build fintech solutions by making it easy, safe and reliable for people to connect their financial data to apps and services.
