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Coupa Software

Senior Lead AI Engineer

Coupa Software

Sr. Lead AI Engineer at Coupa, focused on model training and iteration for ML systems.

Posted 6/27/2026full-timeFoster City • California • 🇺🇸 United StatesSenior💰 $244,333 - $284,867 per yearWebsite

Tech Stack

Tools & technologies
CloudPythonPyTorch

About the role

Key responsibilities & impact
  • Build and own the end-to-end model fine-tuning pipeline: data preprocessing, training, evaluation, and model registry.
  • Implement and optimize fine-tuning techniques (QLoRA, LoRA, PEFT, full fine-tune) for our training workloads.
  • Design and maintain evaluation harnesses with task-specific benchmarks and automated regression testing.
  • Drive the training iteration loop: analyze results, diagnose failure modes, improve data and configuration.
  • Implement experiment tracking, hyperparameter optimization, and reproducible training workflows.
  • Collaborate on training data strategy with data engineering, including synthetic data generation.
  • Evaluate model quality across safety, accuracy, latency, and cost dimensions.
  • Contribute to model serving architecture and inference optimization.
  • Mentor ML engineers across the team.

Requirements

What you’ll need
  • 10+ years of software engineering experience, with 4+ years focused on ML/NLP systems.
  • Hands-on experience fine-tuning large language models with parameter-efficient methods.
  • Strong knowledge of transformer architectures, tokenization, and training optimization.
  • Experience building production ML training pipelines with experiment tracking.
  • Proficiency in Python, PyTorch, and distributed training frameworks.
  • Experience with GPU-based training infrastructure in the cloud.
  • Strong evaluation methodology: designing benchmarks, measuring quality, detecting regressions.
  • Experience with RLHF, DPO, or other alignment techniques is a strong plus.
  • BS/MS in Computer Science, Machine Learning, or equivalent experience.

Benefits

Comp & perks
  • Health insurance
  • 401(k)
  • Paid time off
  • Flexible work arrangements
  • Professional development

ATS Keywords

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Hard Skills & Tools
model fine-tuningdata preprocessingtrainingevaluationQLoRALoRAPEFThyperparameter optimizationPythonPyTorch
Soft Skills
mentoringcollaborationanalysisdiagnosing failure modesimproving data and configuration
Certifications
BS in Computer ScienceMS in Machine Learning