Lead Machine Learning Engineer, Recommender Systems

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.

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

, education, experience, knowledge and skills.

Compensation

Benefits (Full-Time Employees)

The salary range for this role is listed above.

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

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.