6 дней назад
Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI) (generative content evaluation and production ML): Building evaluation systems, automated judges, labeled training datasets, and quality gates for an AI-generated ecommerce content platform with an accent on non-deterministic systems, model quality measurement, and threshold design. Focus on converting brand feedback into training data, running fine-tuning or retrieval experiments, and preventing problematic content from reaching brand review.
Location: Hybrid schedule based in Lehi, Utah, US
Company
develops proprietary technology and AI solutions that accelerate brands on global ecommerce marketplaces through advertising, content management, logistics, fulfillment, pricing, forecasting, and customer service automation.
What you will do
- Build and maintain datasets, evaluation rubrics, automated judges, and regression systems for the generative content engine.
- Convert brand rejection reasons into structured, labeled training data for model improvements.
- Quantify qualitative improvements in AI-generated titles, bullets, A+ modules, and imagery.
- Define and defend approval thresholds with data science and brand teams.
- Build production quality gates that identify problematic outputs before brand review and reduce rework.
Requirements
- Strong coding and system design experience in any language or technology stack.
- 3+ years owning production software services end to end.
- Formal statistics or machine learning training, or equivalent professional depth.
- Experience engineering systems with non-deterministic outputs where correctness must be measured.
- Ability to work on a hybrid schedule based in Lehi, Utah, US.
Nice to have
- Fine-tuning experience, including LoRA or PEFT.
- Hands-on LLM or generative media production experience.
- Evaluation-system ownership, multimodal evaluation, ecommerce knowledge, human-labeling operations, or A/B testing infrastructure experience.
Culture & Benefits
- Unlimited paid time off and paid holidays.
- Health, vision, dental, and company-paid life insurance.
- 401(k) match.
- Onsite fitness center and casual dress code.
- Internal mobility and professional development opportunities.
Hiring process
- Initial phone interview with talent acquisition.
- Video technical interview and onsite interview with the hiring manager and department leadership panel.
- Professional reference checks, executive review, and offer.
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