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Senior Machine Learning Engineer (Consumer AI/ML Systems)

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Build and scale AI/ML systems for consumer products, focusing on search, personalization, and retrieval. Develop data pipelines, embeddings, RAG, and inference infrastructure. Requires 5+ years in ML engineering, hands-on LLM/embedding experience, and Python/PostgreSQL proficiency.

Key Highlights
Architect ML/retrieval systems for consumer products (search, personalization, enrichment)
Develop data pipelines, embeddings, RAG, and inference infrastructure
5+ years ML engineering experience with consumer AI/ML systems
Key Responsibilities
Architect and build ML/retrieval systems for core product experiences
Develop data pipelines for user data ingestion, classification, enrichment, and summarization
Build scalable inference infrastructure for real-time and batch workloads
Prototype and productionize AI-powered features
Collaborate with product/design/engineering teams to refine ML capabilities
Technical Skills Required
Machine Learning Python Data Pipelines
Benefits & Perks
Base salary: $200,000 to $300,000 USD annually
Visa sponsorship available
Nice to Have
Startup/early-stage experience
End-to-end ML feature development
Consumer product experience

Job Description

About the Role

Join a small, senior engineering team building the machine learning foundation for consumer products. You will create systems that make product experiences more helpful through search, personalization, enrichment, and assistant-like interactions.

What You'll Do

Architect and build machine learning and retrieval systems for core product experiences.

Develop data pipelines to ingest, classify, enrich, and summarize user data.

Build scalable inference infrastructure for real-time and batch workloads.

Select and fine-tune models, develop embeddings and RAG pipelines, and establish evaluation frameworks and quality metrics.

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