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Coupa Software
Coupa Software
1001 – 5000 Darbinieki
H1B vīzas sponsorsKonsultācijasLoģistikaVeselības aprūpe
Coupa Software izstrādā uzņēmumu izdevumu pārvaldības risinājumus, kas palīdz organizācijām pārvaldīt iepirkumu, finanšu, piegādes ķēdes un IT izdevumus. Tās platforma atbalsta rēķinu apstrādi, maksājumus, izdevumu pārvaldību, attiecību ar piegādātājiem pārvaldību un sadarbību piegādes ķēdē. Apvienojot mākslīgo intelektu ar datu sniegtajām atziņām, tā palīdz identificēt ietaupījumu iespējas, uzlabot atbilstību prasībām un samazināt darbības riskus. Coupa apkalpo dažādu nozaru organizācijas, tostarp autobūves, veselības aprūpes, mazumtirdzniecības, loģistikas un konsultāciju uzņēmumus, bet tās partneru un klientu kopiena veidota, lai veicinātu efektīvāku un noturīgāku uzņēmējdarbību.
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Vakances uzņēmumā

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.

CZČehijaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
PythonSQL

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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