Development Lead at Vertica (Machine Learning) (US - REMOTE)
Title: Development Lead at Vertica (Machine Learning) (US - REMOTE)
Location: Remote Eligible
Vertica believes that each of us knows the work environment that makes us the most productive. That's why we provide our employees with the ability to work how and where they will be the most successful. We enable a flexible approach to work location, meaning for roles where it makes sense, you can work from the office or from home, or a combination of both, but you make that choice including where you choose to live. Vertica invests in the best technologies and provides flexible benefits and collaborative work environments to empower employees to work productively in the setting that meets their personal needs. That's why we're so proud to have a highly productive and engaged team in every function of the company.
About your role
You will lead, mentor and develop a highly talented and growing team at Vertica.
You will design, implement and optimize innovative machine learning algorithms and features to help our customers uncover hidden patterns, correlations, and other valuable insights from massive amounts of data. To do this you'll need to design and implement ML algorithms including but not limited to XGBoost, KNN and ARIMA in Vertica's MPP architecture to crunch petabytes of data.
You'll work on low-level systems code (C++) to make ML algorithms run orders of magnitude faster. And you'll enhance the Vertica Software Development Kit (SDK) and core infrastructure to integrate Vertica with ML frameworks.
It is an exciting time to join the team, as Vertica paves the way for scalable in-database machine learning on petabytes of data.
5+ years of combined experience in software development and management of the development team.
Customer focus with knowledge of major machine learning use cases in the industry.
C/C++ or Java
Essential algorithms and data structures.
Experience with large scale distributed systems.
Ability to work in a cross-functional team with PM, QA, Documentation, and others.
Willingness and ability to hire and mentor team members and interns.
Excellent communication and strong analytical thinking skills.
Experience with Machine Learning tools/libraries like Apache Spark, H20, TensorFlow, PyTorch, or others.
MS or PhD in Machine Learning or Computer Science.
Proficiency in Python and SQL.
Advanced knowledge of algorithms and data structures.
Knowledge/experience of putting machine learning models into production over distributed architecture with one or more of the following: classification, regression, recommendation systems, time-series, or ranking systems.
Experience in the development of enterprise-grade ML platforms.
About our team
The best ideas often come from fresh perspectives. At Vertica, our open-minded, diverse and inclusive team is always learning from each other. We approach intellectually challenging work with a "get it done" attitude. Vertica Engineers are given significant latitude and support to pursue what they are passionate about to make Vertica an even better place. If you are excited about building great technology with a proactive team, you will find yourself in good company at Vertica.
About our product
Vertica provides a state-of-the-art Big Data Analytics platform that handles petabytes of data. It is a commercially successful, high performance, distributed database. Every industry is finding ways to benefit from data analytics. We continue to engineer our product to be flexible so that it supports all of them. Vertica is a recognized leader in analytics powering some of the world's most data driven organizations like Uber, Wayfair, Intuit, Cerner, and more. Our columnar, MPP, distributed database delivers unprecedented speed, petabyte scale, with analytics and machine learning functions built into the core.
We believe the future belongs to the fast. Join us for the ride!
Micro Focus is proud to be an Equal Opportunity Employer. Prospective employees will receive consideration without discrimination because of race, colour, religion, creed, gender, national origin, age, disability, marital or veteran status, sexual orientation, genetic information, citizenship or any other legally protected status