Senior Machine Learning Engineer

Join ShopMy – Powering the Future of Digital Marketing

ShopMy is revolutionizing the future of e-commerce by building the infrastructure for human-led curation at scale.

ShopMy enables brands to launch and scale high-impact, performance-driven creator programs, while empowering the most influential creators to monetize their influence and partner directly with the brands they love. Through this operating system, ShopMy powers consumers to discover and buy the world's best products through premium brands, culture-driving tastemakers, and authentic human curation.

ShopMy recently became a unicorn, raising at a $1.5B valuation with backing from Bessemer Venture Partners, Avenir Growth Capital, and Bain Capital Ventures. If you’re excited to help shape the future of curated commerce at the intersection of technology, culture, and taste, we’d love to meet you.

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)

Our teammates are provided benefits such as:

• Medical & Dental Coverage at 70%
• Equity in ShopMy
• Flexible PTO
• 14 weeks of parental leave
• Wellness & Social Stipend
• Technology Stipend
• Learning & Development Stipend 
• 401k program (3% automated contribution from ShopMy!)
• Wellhub Membership
• Company retreats
• Opportunity to monetize your influence- all employees build out a ShopMy page!
• Birthday PTO