Director, Machine Learning Solutions

Company: TigerGraph
Location: Redwood City, California, United States
Type: Full-time
Posted: 30.MAY.2021
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Summary

Director of Machine Learning Solutions TigerGraph is the world's fastest graph analytics platform designed to unleash the power of intercon...

Description

Director of Machine Learning Solutions

TigerGraph is the world's fastest graph analytics platform designed to unleash the power of interconnected data for deeper insights and better outcomes. We welcome persons from all backgrounds who seek the opportunity to help build the next generation graph computing and analytics platform.

Brief Overview

As Director or Machine Learning Solutions, you will lead TigerGraph's efforts at researching and demonstrating how TigerGraph's scalable, high-performance graph database can be combined with machine learning, both in and out of the database, to provide unique and better solutions to real-world problems. You will report to the Head of Product Strategy and will interact with solution architects, database engineering, and product management. Starting as an individual contributor, you will help define how the ML Solutions team should grow.

What You'll Do

  • Push the boundaries of both in-database and graph-enhanced machine learning, for distributed graph databases
  • Match the appropriate ML approaches to different graph data and application scenarios.
  • Build demo solutions of Graph + ML for real-world use cases
  • Establish design templates and patterns
  • Assist with the development and improvement of a TigerGraph ML kit
  • Author and present whitepapers, tutorials, and blogs highlighting capabilities and uses for TigerGraph + ML


Preferred Skills And Experience
  • PhD in Computer Science, Data Science or equivalent degree
  • 7+ years experience building solutions with machine learning
  • Working knowledge of graph algorithms
  • Database experience in SQL and/or NoSQL
  • Coding experience in relevant languages and platforms such as Python, R, C++, Java, Jupyter, SageMaker, TensorFlow, PyTorch
  • Writing for and presenting to technical and business audiences
  • Leadership and management experience
  • +1 Deployment, integration, and operations on cloud platform such as AWS, Azure, Google Cloud Platform
  • +1 Building full-stack enterprise applications

 
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