Degree in Computer Engineering
Leadership, Machine learning techniques, NumPy, Pandas, Python Programming, PyTorch, SciPy, Spark Core
At Sisu, we're building a software platform that empowers people to make better decisions using data. Based on years of cutting-edge research at Stanford, Sisu enables users to quickly and comprehensively understand what’s driving their key metrics, so they never miss a window of opportunity to act.
Sisu leverages the massive amounts of data available within private, first-party data warehouses, which capture a real-time, structured view of organizational behavior. By monitoring the performance of key metrics like revenue, retention, and churn, and their relationships to interactions between key factors like user demographics, campaigns, and acquisition channels, we can help users make better decisions. The key problem Sisu solves is to help identify what’s driving change among this enormous feature and hypothesis space. To do so, we combine statistical analysis and machine learning at scale to provide users real-time diagnoses of changes in their metrics via an explainable, interpretable user interface.
As a machine learning engineer - tech lead, you’ll have the opportunity to shape the future of machine learning on massive, structured data. Much like public search engines rely on sophisticated models for ranking and relevance over unstructured text, machine learning is integral to Sisu’s value proposition of ranking and highlighting key drivers behind metrics derived from structured data. These results inform our users on how to take action as their businesses are changing.
You will be responsible for investigating and developing state-of-the-art algorithms in Sisu’s large-scale streaming structured data context. ML engineers at Sisu deliver their features end-to-end, from Jupyter notebook prototypes to production in Rust.
Responsibilities
Preferred Qualifications
Compensation and Benefits:
Sisu is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, ag
e, or veteran status.
Sisu is the Decision Intelligence Engine where everyone can quickly and comprehensively leverage their cloud data to understand what’s happening, why it’s happening, and how to take action. Data-forward organizations like Gusto, Overstock, Ro, Samsung, Wayfair, Udacity, and Upwork rely on Sisu to make decisions to optimize their customer journeys, accelerate revenue growth, and reduce incidents. Based on years of research at Stanford University,