Deep Learning Researcher Intern - Model Quantization - Canada
Originally posted 22 September 2026 by the employer.
About the role
You will work on quantization algorithms to improve the efficiency and performance of deep learning models across a variety of architectures. The role focuses on developing low-bit and mixed-precision quantization techniques while exploring GenAI approaches to model quantization.
What you'll do
- Develop and implement low-bit quantization techniques for deep learning models to reduce model size and inference latency without compromising accuracy.
- Analyze model performance and accuracy trade-offs during quantization and propose improvements.
- Conduct R&D on mixed-precision quantization to improve model accuracy and performance.
- Stay up to date with research and advancements in model compression and quantization techniques.
- Document methodologies, experiments, and results clearly for internal teams and stakeholders.
What you'll need
- Master's or PhD degree (in progress or completed) in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Experience in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Hands-on experience with model quantization techniques, including QAT and PTQ.
- Proficiency in Python.
- Solid understanding of neural network architectures and training processes.
Nice to have
- Familiarity with C++.
Skills: model quantization, QAT, PTQ, deep learning, PyTorch, inference latency
More semiconductor jobs: AI chip design jobs
This role has been open 0 days — 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 | STMicroelectronics | All employers we track in this specialty (506 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 4 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 50 | 6367 · 147 employers |
| Median days open | 23 d | 87 d (−64 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: model quantization, QAT, PTQ, deep learning, PyTorch, inference latency
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.