Software Quality Engineer

Summary

Join Natera, a global leader in cell-free DNA testing, as a Senior Software Quality Engineer. You will play a critical role in ensuring the quality and reliability of our AI-powered products. Responsibilities include test planning and design, test execution and analysis, AI model evaluation, and data quality assurance. The ideal candidate possesses a strong understanding of AI and machine learning, experience with testing frameworks and tools, and proficiency in programming languages like Python and SQL. This is a remote position offering competitive benefits, including comprehensive medical, dental, vision, life, and disability plans, as well as free testing for employees and their families. Natera is committed to fostering a diverse and inclusive workplace.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• Strong understanding of AI and machine learning concepts, including deep learning and natural language processing
• Experience with testing frameworks and tools (e.g., PyTest, JUnit, Selenium)
• Proficiency in programming languages such as Python and SQL
• Knowledge of data quality and validation techniques
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills

Responsibilities

• Develop and execute comprehensive test plans and test cases for AI models, pipelines, and applications
• Design and implement test automation frameworks to ensure efficient and scalable testing
• Identify potential risks and develop mitigation strategies
• Execute functional, integration, and performance tests to evaluate system behavior and identify defects
• Analyze test results to identify trends and root causes of issues
• Collaborate with development teams to troubleshoot and resolve defects
• Assess the quality and performance of AI models using appropriate metrics and techniques
• Evaluate model fairness, bias, and robustness to ensure ethical and responsible AI development
• Ensure the quality and integrity of training and testing data
• Develop data validation and cleaning processes to maintain data accuracy
• Stay up-to-date with the latest advancements in AI and testing methodologies
• Proactively identify opportunities for process improvement and automation
• Contribute to the development of best practices for AI quality assurance

Preferred Qualifications

Experience with cloud platforms (e.g., AWS, GCP, Azure)

Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
• Free testing in addition to fertility care benefits for employees and their immediate families
• Pregnancy and baby bonding leave
• 401k benefits
• Commuter benefits
• Generous employee referral program