There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.
Snowflake is still not ready to stop innovating. Next, we are taking a data-first approach to Machine Learning. We are building predictive analytics that are extremely easy to use by our existing data customers. We are also using ML to improve Snowflake itself using rich metadata. Last, but not least, we aim to leverage Snowflake’s data marketplace to ensure ML models won't be starved for training data.
We are hiring experienced engineers for ML frameworks, tools, algorithms, and selected applications. Please note, this role is not suited for engineers whose primary role is data scientists or data engineer. While the role may require occasional data science type tasks, the vast majority of day-to-day work will be software engineering.
AS A SENIOR SOFTWARE ENGINEER IN ML YOU WILL:
THE IDEAL CANDIDATE WILL HAVE:
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
Snowflake Inc. is a cloud computing-based data warehousing company based in Bozeman, Montana. It was founded in July 2012 and was publicly launched in October 2014 after two years in stealth mode. The company's name was chosen as a tribute to the founders' love of winter sports. The firm offers a cloud-based data storage and analytics service, generally termed data warehouse-as-a-service. It allows corporate users to store and analyze data.