ML Engineer - Databricks

ML Engineer

Splice Machine, an AI data platform startup company, is looking for a Machine Learning Engineer with experience working with complex distributed systems and large data sets using Spark. Work from anywhere in the US. Splice Machine’s CEO/ Co-Founder, Monte Zweben, is a serial entrepreneur in AI, selling his first company, Red Pepper, to Peoplesoft/ Oracle for $225M and taking his second company Blue Martini, through one of the largest IPOs in the early 2000s ($2.9B). He started Splice Machine to disrupt the $30 billion traditional database market with the first open-source dual engine database and predictive platform to power Big Data, AI and Machine Learning applications. Splice Machine has recruited a team of legendary Big Data advisors including, Roger Bamford, “Father of Oracle RAC”, Michael Franklin, former Director of AMPLab at UC Berkeley, Ken Rudin, Head of Growth and Analytics for Google Search, Andy Pavlo, Assistant Professor of Computer Science at Carnegie Mellon University and Ray Lane, former COO of Oracle, to collaborate with the Splice Machine team as we blaze new trails in Big Data. Recently recognized in Forresters’ Translytical Wave Report, Splice Machine’s “secret sauce” is a powerful and scalable translytical database which ingests high volumes of data at velocity while simultaneously performing analytics and serving concurrent queries. Our database is the foundation of Splice Machine’s predictive platform.

Some of our use-cases include:

● At a leading credit card company, Splice Machine powers a customer service application that returns sub-20ms record lookups on 7 PB of data
● At a Fortune 50 bank, Splice Machine is replacing a leading RDBMS and data warehouse with one platform in a customer profitability application
● At an RFID tag company, Splice Machine is replacing a complex architecture for a retail IoT solution
● At a leading financial service company, Splice Machine powers an enterprise data hub for 10,000 users
● At a leading healthcare solution provider, Splice Machine powers a predictive application to learn models and use them to save lives in hospitals

Splice Machine’s predictive platform solution helps companies turn their Big Data into actionable business decisions. Our predictive platform eliminates the complexity of integrating multiple compute engines and databases necessary to power next-generation enterprise predictive AI and Machine Learning applications. The Machine Learning Engineer will develop predictive models using various ML algorithms and mining techniques to help our customers experience success using Splice Machine, making better decisions faster. About You You take pride in working to understand, quantify and verify the business needs of customers and their specific use cases, translating these needs into models using Splice Machine that help them make decisions. You have a strong understanding of ML and statistical models and methods (time-series analysis, regression, hypothesis testing) and experience with large scale solutions in Spark, H20, TensorFlow or comparable ML architecture.

You are comfortable asking for the appropriate data from the customer and presenting your analysis, results and recommendations. You are technical and are accustomed to working with researchers, data scientists and project managers to ensure the best implementation practices and use of the Splice Machine product. You are results oriented and a high achiever. About What You”ll Work On Develop predictive models using various ML algorithms and mining techniques to help our customers make better decisions faster. Deliver on data science activity, working in a cross-functional team of Splice Machine and customer resources. Build our customer’s trust by maintaining a deep understanding of our product capabilities and their business needs. Use predictive algorithms and OLAP data processing in Splice Machine to: Predict oil rig outages from IoT sensor data Predict code blue events from hospital electronic medical records Predict late supply chain orders from ERP and radio-frequency tag data Predict the best drug to give to a patient given lab results and patient reported outcomes Predict fraud from claim data Predict loyalty offers from supermarket POS data Requirements BS or MS degree in CS, Machine Learning, or Data Science Hands-on experience in data analysis and implementing ML models using SQL, Python, and PySpark Experience with scalable and highly available distributed systems Strong analytical skills, detailed oriented, and an ability to interpret results and formulate recommendations Excellent spoken and written communication skills Experience in health care, financial services and/or supply chain/logistics preferred

Our team at Splice Machine enjoys access to the best tools available, an open and collaborative distributed work environment and a supportive culture inspiring them to do their very best. We offer great salaries, generous equity, employee health coverage, flexible time off, and an environment that gives you the flexibility to seize moments of inspiration among other perks. Splice Machine is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce.