Highlights
Leverage Coupa's global network to build cutting-edge evaluation infrastructure with a direct impact on thousands of enterprise customers.
Description
Job Summary
pJoin Coupa as an AI Engineer, Evaluation & Quality where you will build and maintain automated evaluation pipelines for our cutting-edge AI models. Your work will ensure that our AI platforms meet the highest accuracy standards, impacting thousands of enterprise customers positively.
Responsibilities
- Build and maintain automated evaluation pipelines for AI model quality
- Implement task-specific benchmarks and test suites
- Design quality dashboards tracking accuracy, regression, and safety metrics
- Implement automated regression testing for every model iteration
- Build comparison frameworks for side-by-side evaluation of model variants
- Analyze evaluation results to identify failure modes and report to the ML team
- Maintain evaluation datasets: versioning, quality validation, coverage analysis
- Support A/B testing infrastructure for production model validation
Required Skills
- Python proficiency
- Data visualization
- Statistical analysis
- CI/CD pipelines
- Dashboarding tools
Required Skills Explained
- Proficiency in Python with strong testing and automation skills.
- Experience with statistical analysis and data visualization tools.
- Understanding of ML model evaluation concepts including precision, recall, F1 score, and human eval.
- Experience building automated test frameworks and CI/CD pipelines.
- Familiarity with dashboarding tools for visualizing model performance metrics.
Who is this for
pThis role is ideal for experienced AI engineers who are passionate about ensuring the quality and accuracy of machine learning models. You should have a strong background in software engineering, quality engineering, and statistical analysis.
Why This Job is a Good Opportunity
ulliTo be part of a company at the forefront of innovation in AI and total spend management solutions.liTo work in a collaborative environment where transparency, openness, and shared commitment to excellence are valued.
liTo grow professionally through exposure to cutting-edge technologies and methodologies used in the evaluation of ML models.
Interview Preparation Tips
- Review and practice Python coding challenges, focusing on testing and automation techniques.
- Prepare to discuss your experience with statistical analysis and data visualization tools, emphasizing how you have applied these skills in previous roles.
- Be ready to explain your understanding of ML model evaluation concepts, such as precision, recall, F1 score, and human eval, and provide examples from your work history.
- Discuss your familiarity with dashboarding tools and share a project where you used one to track model performance metrics.
Career Growth in This Role
pThis role offers significant opportunities for career growth as an AI Engineer at Coupa. As you build the evaluation infrastructure for AI models, you'll have the chance to advance your expertise in ML model evaluation and automation. You may also explore opportunities to lead larger projects or mentor junior engineers. The collaborative culture at Coupa encourages professional development and continuous learning, making it a great environment for personal and career growth.
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Skills
Frequently Asked Questions
What is the role of an AI Engineer, Evaluation & Quality at Coupa?The role involves building and maintaining evaluation infrastructure that ensures our AI models meet rigorous accuracy standards.
What skills are required for this position?You need proficiency in Python, data visualization, statistical analysis, CI/CD pipelines, and dashboarding tools.
Is experience in software engineering or quality engineering necessary?Yes, at least 0 years of relevant experience is required for this position.
