Home › Companies › HP IQ › Lead Machine Learning Engineer, Recommender Systems
Lead Machine Learning Engineer, Recommender Systems
HP IQ · Palo Alto, CA · Active · $175,000–$275 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | HP IQ |
| Title | Lead Machine Learning Engineer, Recommender Systems |
| Normalized title | - |
| Department / team | Software |
| Location | Palo Alto, CA, United States |
| Work model | - |
| Employment type | - |
| Salary | $175,000–$275 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2025-10-23 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from HP IQ. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Palo Alto. | Open |
| Department jobs | Active postings in Software. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | HP IQ |
| Source | 12af2003-39bd-4d5b-b878-fd6708295773 |
| ATS provider | Greenhouse |
Description
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
Full job record
| Job ID | 3e2b3f0859a04e732878d0ee61cccad123ad5d36 |
| Org ID | 63b62f42-49bc-4838-8937-7bf3de2758da |
| Source ID | 12af2003-39bd-4d5b-b878-fd6708295773 |
| Board ID | 12af2003-39bd-4d5b-b878-fd6708295773 |
| Provider | greenhouse |
| Provider Job Key | 5688108004 |
| Title | Lead Machine Learning Engineer, Recommender Systems |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Palo Alto, CA |
| Department | Software |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | Palo Alto |
| Salary Raw | Salary Range: $175,000 - $275 ,000 Compensation & Benefits (Full-Time Employees) The salary range for this ro |
| Salary Min | 175,000 |
| Salary Max | 275 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/hpiq/jobs/5688108004 |
| Apply URL | https://job-boards.greenhouse.io/hpiq/jobs/5688108004 |
| First Seen At | 2026-05-29 22:56:20Z |
| Last Seen At | 2026-06-06 19:19:16Z |
| Last Checked At | 2026-06-06 19:19:16Z |
| Last Changed At | 2026-05-29 22:56:20Z |
| Inactive At | — |
| Source Posted At | 2025-10-23 17:42:29Z |
| Source Updated At | 2025-10-23 17:42:29Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=hpiq/date=2026-06-06/2026-06-06T19-19-16-434Z-24d4c5c7d10aaafb08299aef778c8e5768fe10a0cc6da2fa2e324d7361690099.json |
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