Machine learning is changing the way the world does business. Recommendations are smarter than ever, and predictions are closer to reality. But is it good enough? Many predictions are still off-mark, and companies are missing opportunities to deliver stellar customer experiences and drive down costs with ad hoc data infrastructure and ML processes. At Kaskada, we are revolutionizing enterprise machine learning through the use of real-time data. Our team is delivering an end-to-end machine learning platform powering feature engineering and productionization.
This is a fantastic opportunity to join the core group working on infrastructure for our machine learning platform. You will work on building distributed systems to ingest and persist large volumes of streaming data at-near real-time. Our system must be able to execute arbitrary aggregations over terabytes of data in seconds and respond to point queries in milliseconds. We build for scalability and fault-tolerance. Our system is a foundational building block for data scientists and machine learning engineers across the industry.
Kaskada is a Seattle-area startup building a machine learning platform for event-based data. We are a team of doers with leadership roots from Google and AWS. We are actively building a team of other top performers to join the fun. The company is funded by leading PNW and Bay-area VCs, including Voyager Capital, NextGen Venture Partners, Founders’ Co-op, and Bessemer Venture Partners.
Kaskada offers competitive salaries including equity. Employees are also eligible to receive benefits including health insurance, dental, and vision insurance; life insurance, 401(k) plan, and more.