Senior AI Engineer, NLP & Training Data - 11316
Indexed description
Why join Coupa?
馃敼 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.馃敼 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.馃敼 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.The Impact of a Senior AI Engineer, NLP & Training Data at Coupa:
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鈥檒l 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.
Originally posted on Himalayas
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