HP
Senior Machine Learning Engineer, Recommender Systems
HP, Palo Alto, California, United States, 94301
Senior Machine Learning Engineer, Recommender Systems
HP IQ is HP's new AI innovation lab. Combining startup agility with HP's global scale, we're building intelligent technologies that redefine how the world works, creates, and collaborates. We're assembling a diverse, world-class teamengineers, designers, researchers, and product mindsfocused on creating an intelligent ecosystem across HP's portfolio. Together, we're developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. By embedding AI advancements into every HP product and service, we're expanding what's possible for individuals, organizations, and the future of work. About The Role
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 applicationsall on-device. This role blends deep ML experience with product-focused engineering. What You Might Do
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 Essential Qualifications
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 Skills
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 Salary Range: $150,000 - $250,000 Compensation & Benefits (Full-Time Employees)
The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge, and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: 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 Why HP IQ? Innovative Work: Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility: Work with the speed and focus of a startup, backed by HP's scale. Meaningful Impact: Build AI-powered solutions that help people and organizations thrive. Flexible Work Environment: Freedom and flexibility to do your best work. Forward-Thinking Culture: We learn fast, stay future-focused, and imagine what comes nexttogether. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
HP IQ is HP's new AI innovation lab. Combining startup agility with HP's global scale, we're building intelligent technologies that redefine how the world works, creates, and collaborates. We're assembling a diverse, world-class teamengineers, designers, researchers, and product mindsfocused on creating an intelligent ecosystem across HP's portfolio. Together, we're developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. By embedding AI advancements into every HP product and service, we're expanding what's possible for individuals, organizations, and the future of work. About The Role
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 applicationsall on-device. This role blends deep ML experience with product-focused engineering. What You Might Do
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 Essential Qualifications
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 Skills
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 Salary Range: $150,000 - $250,000 Compensation & Benefits (Full-Time Employees)
The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge, and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: 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 Why HP IQ? Innovative Work: Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility: Work with the speed and focus of a startup, backed by HP's scale. Meaningful Impact: Build AI-powered solutions that help people and organizations thrive. Flexible Work Environment: Freedom and flexibility to do your best work. Forward-Thinking Culture: We learn fast, stay future-focused, and imagine what comes nexttogether. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.