Sr. Lead AI Engineer

· Remote

Location

Remote

Type

Full Time

Job Description

CoupaJobs
Sr. Lead AI Engineer

Sr. Lead AI Engineer

Posted 2 Hours Ago
Be an Early Applicant
Foster City CA USA
Hybrid
244K-285K Annually
Senior level
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Help Shape What's Next
The Role
Own end-to-end LLM fine-tuning and training infrastructure: build preprocessing training evaluation model registry and iteration loops. Implement parameter-efficient fine-tuning experiment tracking benchmarks and optimizations; collaborate on data strategy and mentor ML engineers.
Summary Generated by Built In
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. 

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. 

The Impact of a Sr. Lead AI Engineer at Coupa:

Coupa already operates production ML models and frontier model integrations across its AI platform. The Sr. Lead Engineer Machine Learning will own the model training and iteration workstream building the fine-tuning pipelines evaluation harnesses and iterative training loops that take our model capabilities to the next level. Working closely with the Principal Architect you will turn architecture decisions into production training infrastructure.

What You'll Do:

  • 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.

What You Will Bring to Coupa:

  • 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.

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. 

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.

Skills Required

  • 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 (e.g. QLoRA LoRA PEFT).
  • Strong knowledge of transformer architectures tokenization and training optimization.
  • Experience building production ML training pipelines with experiment tracking and reproducible workflows.
  • 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.
  • BS/MS in Computer Science Machine Learning or equivalent experience.
  • Experience mentoring or leading ML engineers.

What the Team is Saying

Aditya Maheshwari
Alex Moon
Jose Miguel Jimenez
Jessica Fonseca
Daniela Aristizábal
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The Company
HQ: Foster City California
3000 Employees
Year Founded: 2006

What We Do

Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms Coupa gives organizations the visibility and control they need to make better financial choices reduce waste and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people partners and the planet.

Why Work With Us

At Coupa we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.

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Coupa Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus balance and creativity while staying connected to a global team of changemakers who are redefining the future of business spend

Typical time on-site: Flexible
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Date Posted

06/27/2026

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