Machine Learning Engineer III - Recommendation System
Core
Design, develop, deploy, and maintain ML software solutions and data pipelines for inspiration-led shopping experiences across fashion, beauty, travel, and home décor.
Role type
Machine Learning Engineer (Recommender Systems)
Builds
End-to-end ML solutions, microservices, APIs, and proof-of-concepts for consumer discovery platforms.
Domain
E-commerce, Consumer Technology, Recommendation Systems
Deliverable
production ML models | product features
Required skills
Recommender Systems, Python, Golang, Spark, Advanced Math, Statistics, End-to-end project delivery
Preferred skills
Data Science research experience, Technical documentation, Cross-functional leadership
Technologies
Vertex AI, Gemini, Imagen, Python, Golang, Spark
Responsibilities
Architect and implement end-to-end solutions for accelerating experimentation and model building; Create microservices and APIs for serving ML models; Design and implement potential products and proof-of-concepts; Collaborate with engineering and product teams to deploy new ML/AI products; Explore and onboard new platforms, technologies, and algorithms; Manage project priorities, deadlines, and deliverables.
Seniority
Mid-Senior (5+ years experience)