HP
Senior Machine Learning Engineer, Recommender Systems
HP, Palo Alto, California, United States, 94306
Senior Machine Learning Engineer, Recommender Systems
Join to apply for the
Senior Machine Learning Engineer, Recommender Systems
role at
HP Senior Machine Learning Engineer, Recommender Systems
Join to apply for the
Senior Machine Learning Engineer, Recommender Systems
role at
HP 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. 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 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 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 (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.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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#J-18808-Ljbffr
Join to apply for the
Senior Machine Learning Engineer, Recommender Systems
role at
HP Senior Machine Learning Engineer, Recommender Systems
Join to apply for the
Senior Machine Learning Engineer, Recommender Systems
role at
HP 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. 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 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 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 (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.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Computer Hardware Manufacturing, Software Development, and IT Services and IT Consulting Referrals increase your chances of interviewing at HP by 2x Get notified about new Machine Learning Engineer jobs in
Palo Alto, CA . AI/ML Engineer (Multiple roles and seniority levels)
Software Development Engineer In Test (SDET)
San Jose, CA $87,600.00-$186,000.00 4 days ago San Jose, CA $137,500.00-$236,500.00 1 week ago San Jose, CA $120,700.00-$228,600.00 1 week ago San Francisco Bay Area $155,000.00-$265,500.00 2 weeks ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning
San Jose, CA $120,000.00-$165,000.00 9 months ago Machine Learning Engineer (I, II, or Sr.)
New Grads 2025 - Software Engineer, Algorithm
San Jose, CA $120,000.00-$165,000.00 10 months ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 1 week ago Machine Learning Engineer, Early Stage Project
Mountain View, CA $136,000.00-$185,000.00 1 week ago San Jose, CA $120,700.00-$228,600.00 1 week ago San Jose, CA $137,500.00-$236,500.00 1 month ago San Jose, CA $130,000.00-$200,000.00 3 days ago Sunnyvale, CA $117,000.00-$234,000.00 3 days ago Sunnyvale, CA $158,200.00-$185,000.00 3 weeks ago San Jose, CA $120,700.00-$228,600.00 1 week ago San Jose, CA $169,500.00-$291,500.00 1 week ago Machine Learning Engineer (I, II, or Sr.)
San Jose, CA $118,657.00-$187,200.00 2 weeks ago Sunnyvale, CA $167,000.00-$185,500.00 1 month ago Redwood City, CA $167,200.00-$250,800.00 2 weeks ago San Jose, CA $120,000.00-$240,000.00 5 months ago Sunnyvale, CA $167,000.00-$185,500.00 3 weeks ago New Grads 2025 - General Software Engineer
San Jose, CA $120,000.00-$165,000.00 6 months ago San Jose, CA $130,000.00-$182,000.00 11 months ago San Jose, CA $142,700.00-$257,600.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr