HP IQ · 1 month ago
Senior Machine Learning Engineer, Recommender Systems
Palo Alto, CA
Full-time
Hybrid
Senior Level
$150K/yr - $250K/yr
7+ years expHP IQ is HP’s new AI innovation lab focused on creating intelligent technologies. As a Senior Machine Learning Engineer for Recommender Systems, you will enhance HP’s retrieval systems and improve user interactions through advanced machine learning solutions.
Computer Software
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
Qualification
Required
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)
Preferred
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
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 (US benefits overview)
Company
HP IQ
HP IQ (formerly Humane) is HP’s new AI innovation lab focused on building an intelligent ecosystem across HP’s products and services for the future of work.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase