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Tier‑1 brand, metro location, and mid-level ML role with substantial applicant pool drives high competition.
Deep ML/LLM research and productionization requirements make background highly domain-specific and less transferable.
Explicit 6+ years requirement plus mandatory ML/LLM research, production, and RL skills makes screening strict.
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Research, develop, and validate machine learning and Generative AI capabilities for large-scale ecommerce applications including LLMs, multimodal modeling, and reinforcement learning.
Build and manage evaluation methodologies to measure model performance, robustness, latency, cost, and customer impact, optimizing production readiness.
Collaborate with engineering and product teams to transform research prototypes into scalable, maintainable production AI capabilities at eBay.
6+ years of work experience in Machine Learning, AI, Computer Science, Computational Linguistics, or related field.
Proven experience building and refining large-scale machine learning or foundation-model features, preferably in production environments.
Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
Strong expertise in machine learning concepts including NLP, LLMs, embeddings, reinforcement learning, model training, fine-tuning, and evaluation.
Experienced individual contributor with demonstrated history of delivering high-impact applied ML research including publications, patents, or shipped product improvements.
Ability to frame ambiguous problems into concrete research questions and balance tradeoffs of model quality, latency, cost, and maintainability in practical solutions.
Comfortable working cross-functionally with research, engineering, product, and infrastructure teams in a large-scale, data-driven ecommerce environment.