Senior Machine Learning Engineer, Recommender Systems

Senior Machine Learning Engineer, Recommender SystemsDescription -Who We AreHP 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 team—engineers, designers, researchers, and product minds—focused 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.We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset.By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.Join us as we reinvent work, so people everywhere can do their best 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 applications—all 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 appImprove vector search and similarity matching models to identify relevant documents across structured and unstructured dataAnalyze user interactions and system performance to guide algorithmic improvementsWork across ML, infrastructure, and product teams to deploy fast and efficient RAG workflowsBuild and maintain retrieval indexes optimized for latency and memory Essential Qualifications 7+ years of software development experience with exposure to ML engineeringStrong foundation in recommender systems, embeddings, and ranking modelsExperience building or scaling document search or retrieval systemsFamiliarity 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 workflowsIndustry 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 The pay range for this role is $150,000 to $250,000 USD annually with additionalopportunities for pay in the form of bonus and/or equity (applies to UnitedStates of America candidates only). Pay varies by work location, job-relatedknowledge, skills, and experience.Benefits:HP offers a comprehensive benefits package for this position, 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 (US benefits overview   [https://hpbenefits.ce.alight.com/])The compensation and benefits information is accurate as of the date of thisposting. The Company reserves the right to modify this information at any time,with or without notice, subject to applicable law.At HP IQ, we offer a competitive and comprehensive benefits package, including:Job -SoftwareSchedule -Full timeShift -No shift premium (United States of America)Travel -Relocation -Equal Opportunity Employer (EEO) - 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.If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement