Senior Machine Learning Researcher, On-Device Optimization
Senior Machine Learning Researcher, On-Device Optimization
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$ 150000 - 250000
1 Vacancy
Job Description
Description -
Who We Are
HP IQ is HPs new AI innovation lab. Combining startup agility with HPs global scale were building intelligent technologies that redefine how the world works creates and collaborates.
Were assembling a diverse world-class teamengineers designers researchers and product mindsfocused on creating an intelligent ecosystem across HPs portfolio. Together were 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 impactfulalways with a human-centric mindset.
By embedding AI advancements into every HP product and service were expanding whats 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 Researcher youll 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. Youll 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)
Essential Qualifications
- PhD in Computer Science Electrical Engineering or related field with focus on efficient ML systems ML or compiler design for ML
- 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
- Understanding of tradeoffs in asymmetric/symmetric quantization calibration methods and inference tuning
Preferred Skills
- 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
The pay range for this role is$150000to$250000USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location job-related knowledge skills and experience.
Benefits:
HP offers a comprehensive benefits package for this position 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)
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time with or without notice subject to applicable law.
Job -
SoftwareSchedule -
Full timeShift -
No shift premium (United States of America)Travel -
Relocation -
Equal Opportunity Employer (EEO) -
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 youd like more information about HPsEEO Policyor your EEO rights as an applicant under the law please click here:Equal Employment Opportunity is the LawEqual Employment Opportunity is the Law Supplement
Required Experience:
Senior IC
Employment Type
Full-Time
