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Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.
Why join Coupa?
🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.Â
Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.Â
The Impact of a Senior AI Engineer, NLP & Training Data at Coupa:Â
Coupa's AI platform uses a range of models, from classical ML classifiers to frontier LLM integrations, to power features across spend management. The Senior Engineer, NLP & Training Data will build the data factory that produces high-quality training datasets for our model development efforts. You will design pipelines that generate, label, validate, and curate the datasets used to improve model accuracy across Coupa's product suite.
What You’ll Do
- Design and implement training data generation pipelines, including synthetic data generation.
- Build data labeling and annotation workflows with quality validation loops.
- Convert enterprise data into formats suitable for model training (instruction-tuning pairs, embeddings).
- Implement active learning strategies to identify high-value training examples.
- Collaborate with domain experts to validate training data quality and relevance.
- Build automated data quality checks: coverage, balance, consistency.
- Design training data versioning and lineage tracking.
- Analyze model evaluation results to identify training data gaps.
What You Will Bring to Coupa
- 5+ years of software engineering experience, with 2+ years in NLP, data science, or ML data engineering.
- Experience with text processing, tokenization, and NLP pipelines.
- Hands-on experience with data labeling tools and annotation workflows.
- Experience generating synthetic training data using language model APIs.
- Understanding of instruction-tuning and training data quality metrics.
- Proficiency in Python (pandas, PySpark).
- Experience with data versioning tools is a plus.
- BS/MS in Computer Science, NLP, or equivalent experience.
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.Â
Please be advised that inquiries or resumes from recruiters will not be accepted.
By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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