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LaBine and Associates

Machine Learning - Query Optimization Architect

Posted One Month Ago
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In-Office
San Mateo, CA, USA
Senior level
In-Office
San Mateo, CA, USA
Senior level
Design and build a next-generation analytics engine and cost-based query optimizer delivering major performance improvements over cloud data warehouses. The founding team member will develop data-learning optimization technologies, ship cloud data products through multiple iterations, and work across relational databases, NoSQL, data lakes, and OLAP systems. Responsibilities include rapid experimentation, debugging, collaboration, and product development in a startup environment.
The summary above was generated by AI

If you love creating impactful data products, this is a great role for you This is an ideal role for an energetic person who is looking to join a passionate team of world-class researchers and be part of the exciting startup journey

In this remote-friendly role, you will be responsible for path-breaking innovation on the next generation analytics engine.  As part of the founding team, you will create the best-in-class "data learning" optimizer delivering 10x to 100x runtime speed-ups against the most popular cloud data warehouses

Requirements
  • 5+ years of experience in building cost-based query optimizers

  • Solid experience in delivering high-value cloud data products over several product iterations

  • Deep experience with relational databases, NoSQL and data lakes

  • Familiarity with OLAP databases

  • Strong background in Java, Python

  • Familiar with the Git workflow, open-source projects on Github

  • Experience and passion for building complex technological solutions in a fast-paced and unstructured start-up environment

  • Comfortable working quickly, with lots of iterations, and shipping often

  • Excellent communication, collaboration, and interpersonal skills: empathy, listening, teamwork, and a great sense of responsibility

  • Willingness to learn and take on new challenges every day

Bonus Points
  • Experience working with cloud file systems and in-memory databases

  • Familiarity with BI tools

  • Great hacking and debugging skills

  • DevOps skills using AWS, GCP and Azure services

Perks
  • Working with the world’s leading researchers in machine learning and approximate query processing to turn AI algorithms into scalable and automated cloud products

  • A generous equity and salary package

  • Excellent medical, vision, and dental coverage

  • H1B work visa sponsorship

  • Free meals and snacks

  • Childcare vouchers


HQ

LaBine and Associates San Mateo, California, USA Office

San Mateo, San Mateo, CA, United States, 94403

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