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Head of AI

Full-time

Atlanta

Information Technology

April 22, 2021

Remote work available

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At Katalon, we believe the fundamental factors that fuels the digital economy growth are software quality and delivery speed. We are helping more than 65,000 companies of all sizes and shapes transform and automate their software testing to deliver better software at a faster pace. As a company, Katalon is built using a Product Led Growth (PLG) approach since being released into the market for free 4 years ago. Katalon has been recognized as the Gartner Peer Insights Customer Choice Award for Test Automation for 2019 and 2020.

Katalon’s vision is to become the most popular software quality platform worldwide by providing indispensable testing tools for software teams of all sizes. Katalon has already made significant investments in R&D and has a roadmap and plan to build out a comprehensive platform to achieve this vision.

Our goal in building Katalon is to create a global software company with its core team in Vietnam, supported by key resources globally. Katalon is committed to each employee’s growth, learning, development, and their entire employment experience. We promote a growth mindset, innovation, transparency, and commitment because we know that our vision is only achieved when our team members succeed. We want you and your ideas to thrive at Katalon. Come join us.

Responsibilities

As Head of AI, you will lead our research efforts across the fields of computer vision, natural language processing, and classification. This role will involve working with leaders across the business to understand challenges that can be solved through AI/ML-based solutions, defining research roadmaps, and leading your team of researchers as they execute on those roadmaps. You will work with engineering leaders to transform research into AI capabilities in our platform.

The Head of AI will report directly to Katalon’s Chief Technology Officer.

Qualifications

Key Qualifications:

  • Master's or PhD degree in Engineering, Mathematics, or Statistics (a degree that provided focus on AI/ML and Machine Perception is highly desired) 

  • 5+ years of experience in developing solutions that include components related to Analytics, AI/ML, or computational perception

  • At least 2 years of experience in working on projects with AI/ML as the focus

  • 2+ years of experience in applying Artificial Neural Networks (ANN) and deep learning to a diverse set of commercial applications including, but not limited to, classification, computer vision, and/or natural language processing

  • Experience working with Transfer Learning and Reinforcement Learning approaches to training systems

  • Demonstrated ability to program in one or more high level languages (e.g., Python, Java, JavaScript) in conjunction with widely used AI/ML SDKs

  • Experience building and leading diverse, high-performing teams

  • Working knowledge of agile methodologies

  • Strong execution and ability to drive work to completion

Bonus Points:

  • Expertise with database management systems and data warehousing systems is desired. 

  • Familiarity with developing cloud-based AI solutions using technologies offered by major cloud providers such as Amazon AWS, Google Cloud Platform, Microsoft Azure a strong plus. 

Technologies we use

  • AWS: EKS, Aurora, S3, etc.

  • Kubernetes

  • PostgreSQL

  • Apache Kafka

  • Node.js, Java, Kotlin, Python

Benefits and Perks

Need more reasons to join us?

  • Casual work environment
  • Self-Managed Paid Time Off (PTO) - We trust that everyone working at Katalon is a true professional and responsible adult. When you’re sick, take the time you need to get better. If you need a break to refresh and reboot, enjoy your time off.
  • 100% company-paid Medical, Dental, & Vision insurance for you and your family

Katalon is proud to be an equal opportunity employer. We care about our people and celebrate our differences. We want to work with talented, collaborative, and innovative people. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other characteristics protected by law.

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