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Machine Learning Engineer - E-commerce Merchant Growth (LLM & Agentic Systems)
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- 2+ years as an ML Engineer, ideally in NLP, recommendation, marketing, or growth algorithms.
- Education
- Master’s or PhD in Computer Science, Artificial Intelligence, Statistics, Operations Research, or related fields.
About the job
Builds and deploys machine learning and LLM-powered agentic systems that help e-commerce merchants grow through insights, recommendations, and operational tools.
What you'll do
- Develop deep learning and LLM systems for merchant tools and e-commerce growth.
- Build predictive models and agent-based recommendations for seller performance, pricing, promotions, and outreach.
- Create lead-scoring, merchant-tiering, and knowledge-graph systems, partnering across teams to deliver projects.
What they ask for
- Master’s or PhD in Computer Science, Artificial Intelligence, Statistics, Operations Research, or a related field, with experience in data mining or deep learning.
- Solid understanding of ML and deep learning fundamentals, including classification, regression, NLP, and model optimization.
- Strong Python skills and familiarity with PyTorch or TensorFlow.
- Strong analytical, teamwork, and communication skills; ability to connect algorithms to business impact.
Nice to have
- Experience with applied LLMs, multi-agent systems, or RAG pipelines.
- Experience in e-commerce or large-scale production environments; publications or ML competition success are also preferred.
Tools
Python, PyTorch, TensorFlow, LLMs, RAG
AI focus
Develop and deploy deep learning and LLM-powered agentic systems for merchant growth, including actionable insights, content generation, recommendations, lead scoring, and outreach optimization.
Model-written summary · the original posting is authoritative