Machine Learning Engineer (Contract)
Tokyo
en – Engineering (Non-regular employee) /
Contract /
| Global Market for QA
Markets are changing rapidly, and there is a demand for quick software releases. Agile development has become mainstream; on a global scale, 92% of developer teams adopt agile development, 71% of which aim to release at least once a week. With such a rapid cycle, manual verification is too time-consuming, and there is an urgent need for automation. Our services can solve these critical challenges and make our clients a competitive advantage in software development. QA’s global budget is said to reach over $1 trillion. We are rapidly expanding our service reach internationally to win this vast global market.
| About Us
Autify, Inc. is a start-up company founded in San Francisco by a team of engineers who were the first Japanese team to graduate from the top US accelerator, Alchemist Accelerator. With the mission to increase creativity with the power of tech, we develop and provide Autify, an AI-powered software testing automation platform.
In October 2019, we officially released Autify for Web, our test automation software that targets web applications. Also, in October 2021, Autify for Mobile for mobile app testing was officially launched and we have closed our $10M Series A. Although the product lineup is continuing to expand and we have been able to provide all basic functions needed in a test automation platform, we continue to receive requests for new features and improvements.
| About This Role
Job Purpose
Currently, we have some finished ML projects ready to be integrated into production:
- Visual Regression (Level 1, 2 & 3)
- Visual Self-Healing
- Feature Locator Improvements
There are more projects which are work-in-progress, and I believe can add huge value:
- (Mobile) Scenario Generation™
- Automatic User-flow Description
- Visual Maintainer™
So the goal of hiring a new resource is to accelerate the integration of existing projects by providing maintenance and solving production bugs and continue working on huge value projects so that these can be added as soon as the integration of the existing projects is complete.
Responsibilities
- Build APIs for integration of existing projects
- Provide maintenance of existing projects
- Work on the new Projects
Required Qualifications
- Experience in designing and developing machine learning and deep learning systems
- Experience in running and evaluating machine learning experiments
- Experience in integrating Machine learning systems into production
Selection Process
1. Technical Interview
