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.
As a Machine Learning Researcher, you’ll focus on advancing the state-of-the-art in on-device AI optimization. This role bridges applied research and product development, with a heavy focus on techniques like quantization, pruning, and efficient model representation. You’ll bring academic expertise into real-world systems that power intelligent assistants running directly on HP laptops and edge devices.
What You Might Do- Research and implement model compression techniques including quantization, low-rank factorization, distillation, and pruning
- Develop methods to deploy SOTA transformer and vision models on-device under hardware constraints
- Lead investigations into hardware-aware training strategies to optimize latency, throughput, and memory usage
- Collaborate with software engineers and system architects to integrate models into AI companion apps
- Evaluate and benchmark different frameworks and quantization strategies (e.g., AWQ, GPTQ, SmoothQuant)
- 2+ years of industry or applied research experience
- Strong background in model optimization for edge computing or mobile/embedded deployment
- Familiarity with PyTorch, ONNX, TensorRT, OpenVINO, QNN, or Llama.cpp
- Understanding of tradeoffs in asymmetric/symmetric quantization, calibration methods, and inference tuning
- PhD in Computer Science, Electrical Engineering, or related field with focus on efficient ML, systems ML, or compiler design for ML
- Experience publishing at top ML/Systems conferences (e.g., NeurIPS, ICML, MLSys)
- Familiarity with embedded ML for consumer devices
- GPU and system-level profiling tools (e.g., CUDA, nvprof, perf)
- Contributions to open-source ML optimization frameworks
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.
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
Top Skills
Humane San Francisco, California, USA Office
San Francisco, CA, United States, 94103
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
