Senior Machine Learning Engineer – Recommender Systems

Senior Machine Learning Engineer – Recommender Systems

Requirements

• 7+ years of software development experience with exposure to ML engineering
• Strong foundation in recommender systems, embeddings, and ranking models
• Experience building or scaling document search or retrieval systems
• Familiarity with vector databases (e.g., FAISS, Pinecone, Qdrant)
• Proficient in Python and one systems language (e.g., C++, Java)

Responsibilities

• Design, implement, and scale recommendation and retrieval algorithms for our AI Companion app
• Improve vector search and similarity matching models to identify relevant documents across structured and unstructured data
• Analyze user interactions and system performance to guide algorithmic improvements
• Work across ML, infrastructure, and product teams to deploy fast and efficient RAG workflows
• Build and maintain retrieval indexes optimized for latency and memory

Preferred Qualifications

• Background in LLM integration or fine-tuning for RAG workflows
• Industry experience at companies like Google (Search, YouTube), Meta (Feed, Ads), or Twitter (Timeline, Trends)
• Experience with ML pipeline tools (Airflow, Ray, TorchServe)
• Previous experience improving search relevance, click-through rate, or long-term engagement