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Coupa Software
Coupa Software
1,001 – 5,000 Employees
H1B Visa SponsorConsultingHealthcareLogistics
Coupa Software develops business spend management solutions that help organizations manage procurement, finance, supply chain, and IT spending. Its platform supports invoicing, payments, expense management, supplier relationship management, and supply chain collaboration, combining AI with data insights to identify savings, improve compliance, and reduce operational risk. Coupa serves organizations across sectors including automotive, healthcare, retail, logistics, and consulting, with a partner and customer community built around more efficient, resilient business operations.
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Lead AI Engineer – Prague Hybrid

Lead applied machine learning research and production development for supplier discovery, forecasting, and sourcing optimization at Coupa Software. Use proprietary AI systems to improve procurement decisions and business margins.

CZCzechiaHybridFull-timeSeniorEnglish RequiredAI EngineerMachine Learning Engineer
PythonSQL

Description

  • Lead sourcing research from problem definition on real-world spend data through experimentation and production deployment
  • Develop models and solutions for new sourcing challenges
  • Define datasets, labeling strategies, benchmarks, and evaluation methods from historical events and outcomes
  • Plan and execute experiments using prototypes, baselines, and offline testing
  • Apply proprietary T-LLM architectures to RFPs, specifications, quotes, and contracts
  • Deploy models with careful attention to inference cost, latency, robustness, and recommendation failure modes
  • Partner with Sourcing product and data teams as well as the AI Platform team
  • Record technical decisions, mentor colleagues, and strengthen production systems operating at scale

Requirements

  • At least 10 years of experience in applied machine learning, data science, machine learning engineering, or quantitative research
  • Track record of moving models or decision systems into production
  • Demonstrated technical leadership in research direction, problem scoping, mentoring, and ownership of delivered models
  • Advanced Python skills
  • Proficiency with SQL and large, untidy datasets
  • Expertise in at least one of deep learning, recommendation and ranking, forecasting and time series, optimization and operations research, causal inference and econometrics, reinforcement learning and bandits, market and mechanism design, or LLM-based systems
  • Strong experimental design skills and scientific discipline
  • Knowledge of data leakage, baseline construction, and production evaluation
  • Ability to work effectively on ambiguous, greenfield problems
  • Interest in procurement, supply chains, or market design is welcomed but not required

Benefits

  • 33 days of leave covering PTO, personal days, birthday leave, and two company wellness days
  • Parental leave
  • Two paid company-wide wellness days each year
  • Paid day off for your birthday
  • 40 hours of paid volunteer leave annually
  • Free, confidential Employee Assistance Program counseling and resources available 24/7/365
  • Business travel protection through Zurich Travel Assist
  • Cash referral bonuses
  • Medical and dental insurance based on location
  • Retirement or pension plans based on location
  • Life or accident insurance based on location
  • Prague office and complete technology setup
  • Access to frontier LLMs plus high-end GPU and large-memory computing clusters
  • Quarterly recognition for exceptional research contributions

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