Senior Machine Learning Engineer, Recommender Systems

Hp Iq•Palo Alto, CA

About The Position

As a Machine Learning Engineer – Recommender Systems, you’ll play a central role in improving HP’s Retrieval-Augmented Generation (RAG) pipelines for private and local data. You’ll build intelligent, context-aware retrieval systems that enhance user interactions with documents, meetings, and applications—all on-device. This role blends deep ML experience with product-focused engineering.

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)

Nice To Haves

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

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

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave