Lead ML Engineer
MachinifySalary not specified
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, AI & Machine LearningIndustries
Requirements
Candidates should possess 5+ years of experience in training and serving AI/ML models in a production environment, along with experience in building and working with data-intensive backend applications within large distributed systems. They should demonstrate the ability to code and iterate independently using tools such as Python, Spark, Jupyter notebooks, and standard ML libraries, and take pride in driving projects to business impact. Experience with data analytics and data engineering is a plus, as is familiarity with the FinTech industry and experience with natural language processing (NLP).
Responsibilities
As a Machine Learning Engineer, the individual will be responsible for building impactful machine learning solutions that empower millions of users through Fintech applications, experimenting with cutting-edge modeling techniques, and developing AI/ML models through their full lifecycle, from offline training to online serving and monitoring. They will collaborate with teams across Plaid to define the ML roadmap, dive deep into data to make data-driven decisions, and demonstrate high ownership, driving projects to business impact. The role also involves leading efforts to experiment with new modeling approaches and strategies, as well as collaborating closely with engineers on ingesting signals and productionizing models.
Skills
Python
Spark
Jupyter notebooks
ML libraries
Data analytics
Data engineering
NLP
FinTech
Plaid
Connects financial accounts to apps securely
About Plaid
Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.
Key Metrics
San Francisco, CaliforniaHeadquarters
2013Year Founded
$714.3MTotal Funding
SERIES_DCompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees