OP is partnering with a globally renowned leader in media, entertainment, and consumer experiences to hire a technically skilled, quality-driven Senior Quality Engineer – AI/ML Systems. This role is ideal for experienced engineers who excel at validating complex, intelligent systems and ensuring the reliability of data-driven applications at scale. Operating in a fast-paced environment that values innovation and excellence, the team applies a software engineering mindset to architect, design, automate, and monitor testing frameworks supporting adaptive algorithms and dynamic system behaviors.
Collaborating closely with cross-functional teams, you will help embed quality throughout the development lifecycle, promote best practices, and drive continuous improvement across digital platforms. This is a hands-on position with opportunities to lead strategic testing initiatives, mentor peers, and help deliver high-quality experiences to a global audience.
Key Responsibilities
- Design and implement comprehensive test strategies for systems incorporating predictive or adaptive logic.
- Develop and maintain automated test frameworks and tools to support CI/CD pipelines.
- Collaborate with developers, product managers, and data specialists to embed quality from ideation through deployment.
- Conduct exploratory testing and risk analysis for complex, data-intensive systems.
- Monitor and report on quality metrics, identifying trends and areas for improvement.
- Advocate for best practices in software quality engineering, including test-driven development and shift-left testing.
- Stay current with emerging technologies and testing approaches, especially those relevant to AI/ML systems.
- Provide technical direction and problem-solving support across engineering teams.
- Plan and execute strategic continuous improvement initiatives.
- Consult with engineering, operations, and leadership to align quality goals with business objectives.
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field—or equivalent work experience.
- Minimum 5 years of hands-on experience in software engineering or quality engineering.
- Proven experience in testing intelligent, data-driven systems.
- Strong understanding of model validation, bias detection, and performance benchmarking.
- Proficiency in test automation tools and scripting languages (e.g., Python, JavaScript).
- Familiarity with AI testing tools and libraries (e.g., TensorFlow Model Analysis, MLflow, PyTest).
- Experience with RESTful APIs, microservices, and cloud platforms (AWS, GCP, Azure).
- Proficiency with Git, Jira, Jenkins, GitHub Actions, and other CI/CD tools.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities across technical and non-technical teams.
- Ability to work independently and manage asynchronous workflows across distributed teams.
Preferred Qualifications
- Master's degree in Computer Science, Engineering, or related field.
- Experience with risk management and mitigation strategies.
- Familiarity with Agile methodologies and SDLC best practices.
- Knowledge of test metrics, reporting, and continuous improvement frameworks.
Education
- Bachelor's degree required; Master's preferred.
- Equivalent work experience may be considered.
Work Style & Decision-Making
- Operates with a high degree of autonomy and technical ownership.
- Tasks are aligned with strategic initiatives and managed independently.
- Receives high-level direction from leadership; day-to-day decisions are self-managed.
- Work is reviewed collaboratively at key milestones for strategic alignment and technical quality.
- Expected to proactively communicate progress, surface risks, and seek feedback when needed.
Why Join Us
At our organization, quality powers magic. The Quality Engineering team ensures that every digital experience, from streaming content to interactive platforms, is built with precision, resilience, and innovation. You'll be part of a team that values agility, creativity, and impact, where your work directly contributes to the future of entertainment.
