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Role:
- We are seeking a seasoned machine learning engineer to shape personalized content discovery on an innovative, AI-driven consumer platform.
- You will own recommendation, search, and ranking systems and turn behavioral data into meaningful product improvements.
Responsibilities:
- Build and optimize recommendation and search systems across personalized feeds, discovery pages, and search experiences.
- Own retrieval and ranking pipelines, including candidate generation, embedding-based retrieval, and online serving performance.
- Design and analyze end-to-end experiments to improve model quality and product outcomes.
Requirements:
- At least 5 years of industry experience deploying production machine learning systems with senior-level ownership.
- Hands-on experience with recommendation or search systems for consumer-facing applications.
- Strong expertise in two-tower models, embedding-based retrieval, and ranking algorithms.
Benefits:
- Competitive compensation and meaningful equity participation.
- Comprehensive health insurance and a remote-first working environment.
- Opportunities to lead significant ML initiatives and influence product and architecture decisions.
Jobgether
Jobgether is listing this role on behalf of an innovative, AI-driven consumer platform focused on personalized content discovery and interactive entertainment. The hiring company operates with a remote-first culture and a fast-moving, collaborative environment.