Senior AI Research Scientist - Model Compression & Efficient AI - Raanana, Israel
Originally posted 1 September 2026 by the employer.
About the role
This role involves conducting research across a wide range of AI topics at the intersection of AI, computer architecture, and compute. Research focus areas include machine learning, quantization, efficient inference, and model optimization.
What you'll do
- Conduct research into novel quantization algorithms, including theoretical analysis and optimization methods.
- Investigate techniques for efficient model inference, including pruning, low-rank methods, and hardware-aware optimization.
- Publish research findings at academic conferences and translate research into real-world impact.
What you'll need
- Ph.D. (or equivalent experience) in computer science, electrical engineering, or a related STEM field with a focus on artificial intelligence.
- Proven track record of academic publications in conferences or journals such as ICML, ICLR, NeurIPS, CVPR, ICCV, ECCV, IROS, or ICASSP.
Nice to have
- Experience working with edge devices.
Skills: Model Compression, Efficient AI, Machine Learning, Edge Devices, Research
More semiconductor jobs: AI chip design jobs · Israel jobs
This role has been open 1 day — well below the 87-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
87 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Arm Holdings | All employers we track in this specialty (506 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 13 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 130 | 6367 · 147 employers |
| Median days open | 1 d | 87 d (−86 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: Model Compression, Efficient AI, Machine Learning, Edge Devices, Research
Who's hiring in this category
- Qualcomm · 99 open roles · median 120 d
- NVIDIA · 89 open roles · median 62 d
- AMD · 32 open roles · median 112 d
- Micron Technology · 27 open roles · median 64 d
- Mobileye · 20 open roles · median 90 d
- Analog Devices · 17 open roles · median 47 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 29 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.