WSAudiology

Machine Learning Engineer

• Turn state-of-the-art AI/ML research into reliable engineering solutions for hearing technology
• Design, develop, and refine complete AI-/ML-driven solutions and algorithms for hearing technology
• Build and validate prototypes addressing clearly defined, high-impact opportunities
• Investigate and apply state-of-the-art AI/ML methods, frameworks, and tools
• Collaborate cross-functionally with AI CoE, R&D, Product, and Engineering teams
• Support patenting of innovative ideas and features where relevant
• Contribute to MLOps and DevOps best practices including version control, modern PR workflows, CI/CD and scalable deployment pipelines

Senior Engineer, Machine Learning

QA Engineer

• Own and oversee QA planning and execution for regional and global market rollouts
• Coordinate with cross-functional teams (Product, Dev, Release Management, Localization) to ensure smooth launches
• Validate readiness of market-specific features, content, and configurations
• Establish quality gates for market acceptance criteria and ensure proper regression coverage for each rollout
• Lead multiple concurrent QA efforts across different product lines or teams
• Prioritize testing activities based on risk, scope, and timelines
• Ensure consistency in testing approaches, tooling, and best practices
• Mentor and support QA Leads and Engineers
• Contribute to QA strategy and continuous improvement of quality standards
• Define and refine test strategies, frameworks, and scalable processes
• Identify bottlenecks and implement automation or tooling solutions
• Act as primary point of contact for QA status and risk communication to leadership
• Present data-driven updates and quality metrics to stakeholders
• Support team development through mentoring, coaching, 1:1s, and performance feedback

Senior Engineer, Machine Learning

Senior Quality Assurance Engineer