Lead Machine Learning Engineer, Recommender Systems

Remote Full-time
Who We Are 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 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 Lead 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 • Drive the design, implementation, and scaling of recommendation and retrieval algorithms for our AI Companion app • Set the technical vision for 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 • Partner with cross-functional leaders in ML, infrastructure, and product teams to deploy fast and efficient RAG workflows • Build and maintain retrieval indexes optimized for latency and memory • Mentor and guide engineers across the team, fostering best practices in experimentation, model evaluation, and production deployment. Essential Qualifications • 8+ years of software development experience with exposure to ML engineering • Deep expertise in recommender systems, embeddings, and ranking models • Proven experience building or scaling document search or retrieval systems • Strong understanding of 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: $175,000 - $275,000 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 (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. • 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 organisations 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 next—together. 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. 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 Apply tot his job
Apply Now →

Similar Jobs

Machine Learning Architect – AI Strategy & Platform Engineering

Remote Full-time

Machine Learning Architect - AWS

Remote Full-time

[Remote] Machine Learning Principal Solutions Architect

Remote Full-time

[Remote] Sr. Staff Machine Learning Engineer, Applied Research Science

Remote Full-time

Voice AI Business Analyst/Project Manager, Bilingual in Russian

Remote Full-time

ML Engineer (Remote, NYC, Austin)

Remote Full-time

Data Science & Machine Learning Engineer

Remote Full-time

AI Product/Program Manager – Device Intelligence

Remote Full-time

AI/ML Engineer and Project Manager

Remote Full-time

[Remote] Sr. Staff Machine Learning Engineer, Closeup Relevance

Remote Full-time

**Experienced Customer Service Representative – Remote Work Opportunity with arenaflex**

Remote Full-time

Experienced Full Stack Web Developer for Airbnb Direct Booking Website Development and Integration

Remote Full-time

100% Remote - Big Data & Analytics - Program Manager

Remote Full-time

Experienced Remote Inside Sales Representative - High Tech Lead Generation with Uncapped Commission Opportunities

Remote Full-time

Experienced Remote Healthcare Customer Service Representative – Delivering Exceptional Patient Experiences and Support

Remote Full-time

Senior Manager, Content Partnerships

Remote Full-time

**Experienced Senior Customer Solutions Analyst – Campus Sales Strategy and Business Development**

Remote Full-time

**Experienced Live Chat and Email Customer Support Specialist – Technical Service and Support**

Remote Full-time

Experienced Nurse Assistant - Progressive Care Unit Opportunity for Compassionate and Detail-Oriented Healthcare Professionals

Remote Full-time

**Experienced Customer Support Representative – Work-from-Home Opportunity with blithequark**

Remote Full-time
← Back to Home