Hyperscience is hiring a
Software QA Engineer

Summary

Join Hyperscience, a market leader in hyperautomation and provider of enterprise AI infrastructure software. Work as a Quality Assurance Engineer in the ML Enablement team, collaborating with world-class Machine Learning engineers and Product team to test and improve products. This role involves identifying and resolving ML problems, creating and executing efficient end-to-end manual and automation test cases, and contributing to the improvement of the automation framework.

Requirements

• 2+ years of experience in Software QA with at least 1 year of experience in test automation
• Experience with REST API testing
• Programming skills in any language (but willing to switch to Python)
• Experience working in distributed teams and Agile environment
• Understanding of the Development and Test process and the role of the QA Engineer
• Very good troubleshooting and analytical skills
• Data driven and detail oriented
• Excellent verbal and written communication skills in English
• Self-driven, curious, and highly motivated person willing to learn
• Able to work in collaboration with other team members as well as to meet deadlines
• Willingness to help out in other functional areas and able to adjust to changing priorities
• Trustworthy and energetic team player with a strong work ethic

Responsibilities

• Help the teams identify and resolve ML problems
• Create and execute efficient end-to-end manual and automation test cases
• Verify that ML models are integrated properly within the application and are performing as expected
• Report and identify errors and inconsistencies throughout all functional areas
• Extend and execute our load test suite
• Analyze the performance results of ML models
• Extend and execute our model compatibility test suite
• Help with defining and executing testing strategies for LLM/VLM Integrations
• Provide input and status updates regarding test results on a daily basis
• Contribute to the improvement of the automation framework, development and release process

Preferred Qualifications

• Programming skills in Python
• Experience with data analysis, Pytest, CI/CD platforms, Machine Learning
• Experience with Selenium or other Web testing tools and frameworks

Benefits

• Work from home flexibility
• Up to 4 months of fully paid parental leave used within 3 years of your child’s birth
• 20 days of paid leave minimum annually with an additional unlimited amount to help nurture work-life symbiosis
• A great office, with an excellent location
• A sports card, covering various options for sport
• Additional health insurance package, including extensive medical, dental & vision care
• Truly competitive salary
• Stock options
• Referral bonus