Senior Machine Learning Engineer

About the role

We’re looking for a Senior Machine Learning Engineer to help ShopMy build and scale production-grade ML systems across personalization, search, and recommendations.

You’ll work closely with the co-founders and a small, high-impact team to design, build, and ship end-to-end machine learning systems; from data ingestion and modeling to deployment, monitoring, and iteration. This is a hands-on role for engineers who enjoy owning the full ML lifecycle and delivering real product impact. You’ll play a key role in defining and building ShopMy’s foundational ML infrastructure.

What You’ll Do

Build Practical, End-to-End ML Systems

• Design and ship productionized ML pipelines, from raw data and ETL through model inference and orchestration
• Build and deploy ML-powered APIs and services that support real user-facing features
• Own the full lifecycle of ML systems: experimentation, deployment, monitoring, and iteration
  
  

Work on Core ML Product Areas

• Develop ML systems for personalization, search, and recommendations
• Work with embedding-based systems and vector representations (text, images, or multimodal data)
• Measure results rigorously and iterate based on real-world performance
  
  

ML Engineering & Infrastructure

• Create and maintain data pipelines and internal tooling
• Deploy and operate ML systems in production (AWS, containerization, EC2, service orchestration)
• Ensure systems are scalable, reliable, and observable
• Monitor model and system performance and improve robustness over time
  
  

Engineering Excellence

• • Maintain a high standard for code quality, testing, and system design
  • Collaborate closely with leadership and peers to shape technical direction
  • Move quickly while balancing correctness, reliability, and long-term maintainability

What You Bring

• Bachelor or PhD in Data Science, Artificial Intelligence, Computer Science or Machine Learning
• 4+ years experience building or contributing to ML systems used in production
• Experience with embeddings, retrieval, ranking, or recommendation systems
• Ability to ship end-to-end solutions, not just models or analyses
• Strong programming skills (Python required)
• String data querying and manipulation skills (Pandas, SQL)
• Comfort working across data, modeling, APIs, and infrastructure
• Experience operating ML systems at meaningful scale (startup or large company)