Position Details
About this role
This role involves designing and optimizing ML systems for personalized discovery and AI features, working with large-scale ML infrastructure and models.
Key Responsibilities
- Build and optimize ML systems
- Integrate models into products
- Manage ML infrastructure
- Develop embedding retrieval solutions
- Collaborate with product teams
Technical Overview
The technical environment includes Python, Golang, Scala, AWS Sagemaker, ML infrastructure tools, and embedding retrieval systems, focusing on scalable ML platform development.
Ideal Candidate
The ideal candidate is a mid-level ML engineer with experience in building and deploying large-scale ML systems, familiar with AWS Sagemaker, embedding retrieval, and model management tools. Strong problem-solving and collaboration skills are essential.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No experience with ML systems or infrastructure, Lack of knowledge of AWS Sagemaker or ML deployment, Unable to work on-site in Jacksonville, FL
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