Machine Learning Engineer

We're partnering with a client to hire ML Search Engineers who are excited about building a modern, machine learning-driven search platform that powers intelligent product discovery across a large e-commerce ecosystem.


This opportunity sits within a newly formed Search Engineering team, working closely with senior ML leadership and an Innovation organization. You'll help take an existing ML search proof of concept and evolve it into a scalable, production-ready system used across customer-facing and internal platforms.


This is a hands-on engineering role focused on building, operating, and improving ML systems in production - not research-only work.


What You'll Be Doing:

• Implement ML -driven search components designed by a Search Architect
• Build and maintain Python-based ML pipelines for embeddings, inference, and relevance
• Work with vector search and similarity matching to enable intent-based product discovery
• Support GPU-based workloads for model computation and inference
• Participate in MLOps workflows, including deployment, monitoring, retraining, and maintenance
• Refresh and rerun embeddings as product data evolves
• Collaborate with Architecture, Innovation, and Engineering teams to deliver production ML systems
• Debug, optimize, and improve search performance, reliability, and relevance
• Contribute to ongoing enhancements as the search platform grows

What We're Looking For:

• Strong Python development experience (primary language)
• Experience building or supporting machine learning pipelines in production
• Understanding of the ML lifecycle (training, inference, retraining, monitoring)
• Familiarity with MLOps principles
• Experience working with large datasets and model outputs
• Comfortable working hands-on in evolving environments with ambiguous requirements
• Strong problem-solving and collaboration skills

Preferred Qualifications:

• Experience with vector databases or similarity search
• Exposure to embeddings, semantic search, or recommendation systems
• Experience supporting GPU-based workloads
• Cloud ML experience (AWS, GCP, or Azure)
• Background in e-commerce search, discovery, or relevance systems

Why This Opportunity:

• Work on real-world ML systems used at scale
• Join a team early as a core contributor to a growing search platform
• High visibility work with meaningful technical impact
• Strong collaboration with senior ML and innovation leaders