Algorithm Validation Engineer

What will your job look like:

• Proactively identify gaps in algorithm performance, logic, and quality. Think critically and deeply about edge cases, failure modes, and potential areas where algorithms might deviate from expected behavior.
• Use analytical rigor to determine the most important validation priorities, balancing algorithmic accuracy with the urgency of business needs.
• Develop and implement test frameworks to validate algorithm functionality, accuracy, and performance.
• Identify gaps in algorithm logic, quality, and failure modes, conduct root cause analysis, and drive corrective actions.
• Collaborate with the algorithm development team to define test strategies based on in-depth understanding of the algorithm logic and business requirements.
• Innovate new testing methods, define and prioritize test strategies based on risk, impact, and business needs.
• Apply analytical skills to solve complex algorithmic challenges and enhance reliability.
• Identify opportunities for process improvements, automating manual workflows and introducing innovative approaches to algorithm validation.
• Automate testing with CI/CD tools like Jenkins to ensure continuous validation.

All you need is:

• Bachelor's or master's degree in computer science, Engineering, or a related field.
• 3+ years of experience in designing, implementing, and automating algorithm validation or software testing, with a focus on performance testing for complex, data-intensive, or machine-learning algorithms.
• Strong expertise in at least one programming language (Python, Java, C++, etc.) with a solid understanding of algorithm design, testing methodologies, and computational complexity.
• Experience designing and implementing automated testing solutions and integrating them with CI/CD pipelines (e.g., Jenkins).
• Familiarity with cloud technologies (AWS, Azure, Google Cloud) for running large-scale tests and simulations.