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About us
Today’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more.
Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office!
The role
We’re adding a Staff Machine Learning (ML) Engineer to our team to help us build and scale our core product lines. You'll work closely with data, product, engineering and business leaders to implement and scale statistical inference systems. Partnering closely with data scientists, you'll architect and develop machine learning infrastructure for offline research and online serving.
With an active userbase and numerous fascinating opportunities for data products, your work will ship quickly, have high visibility and will likely make significant impact on Grid's business performance.
You'll also have the time and space to "do it right". Grid's long-term strategy is focused on data-driven products that require accuracy and precision at every layer, from model to deployment.
Projects will include fraud detection, prevention and mitigation in novel arenas, such as our first-to-market Income Protection program; risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more.
The team
We're focused on serving our users and building a robust business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth.
As our first full time ML Engineer, you'll have an opportunity not only to identify key leverage points for our machine learning implementations, but also to set the standard for Grid's statistical inference and machine learning practice.
The Tech Stack
Our backend tech stack is based on GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful machine learning in the near future.
\nWhat you'll do:
Full Time
IT Outsourcing & Consulting
$105k-134k (estimate)
02/03/2024
06/03/2024
workwithgrid.com
TROY, MI
<25
2008
PAUL TIBBERT
<$5M
IT Outsourcing & Consulting
Strategy, Design & Technology At Grid we are dedicated to the craft of creating elegant and useful business tools. Grid partners with clients to develop strategies for efficiency and growth, building custom software, business and marketing applications, and providing related marketing services to a variety of industries nationwide. We strive to communicate like human beings, and specialize in removing the daunting aspects of software, web and interface development. In all we do, we aim for simple, usable, high-functioning outcomes. Our proud list of acronym proficiencies is vast, but were alwa...ys learning new tools and methods. About the only thing we do for its own sake, is learn. Because our clients hire us to not only solve their present problems, but anticipate future ones. One of Grids primary skills is in the elegant integration of technology and design, helping clients make best use of a simple suite of tools to manage their messages. This manifests itself as intuitive and simple website and mobile management interfaces, useful and useable software, and brands and products extended with a minimum of technical hassle.
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