Machine Learning Researcher
$159,100 - $238,700 USD yearly
Originally posted 18 June 2026 by the employer. Relisted by the employer on 7 August 2026.
About the role
As a Machine Learning Researcher, you will conduct fundamental research to create machine learning methodology for mobile, edge, auto, and IoT products. This work includes advancing model efficiency and exploring compute paradigms like compute in memory, on-device learning, and federated learning.
What you'll do
- Conduct fundamental research to create new models or training methods across areas such as deep generative models, Bayesian deep learning, equivariant CNNs, reinforcement learning, and graph NNs. - Drive systems innovations for model efficiency advancement on device and in the cloud, including auto-ML methods, model compression, quantization, architecture search, and compiler scheduling. - Perform platform research to enable machine learning compute paradigms including compute in memory, on-device learning, and edge-cloud distributed/federated learning. - Develop, test, optimize, and document complex machine learning algorithms, models, and methods aligned with research strategies. - Publish research findings in presentations and machine learning conference papers, and develop patentable ideas for new solutions.
What you'll need
- Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field with 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience; OR a PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. - 6+ months of academic or work experience developing or optimizing machine learning models, systems, platforms, or methods.
Nice to have
- PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. - 2 publications at a machine learning conference. - 2 years of experience working in a large matrixed organization. - 1 year of work experience in a role requiring interaction with senior leadership (e.g., Director and above). - 1 year of experience with machine learning research related to new models, systems innovations, platforms, or methodology.
Skills: machine learning models, deep generative models, Bayesian deep learning, auto-ML, model compression, on-device learning
This role has been open 125 days — well above the 85-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
509
|
Median days open
85 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (509 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 104 | 509 |
| Open roles in the wider Software, Firmware & Systems family | 734 | 6288 · 144 employers |
| Median days open | 113 d | 85 d (+28 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: machine learning models, deep generative models, Bayesian deep learning, auto-ML, model compression, on-device learning
Who's hiring in this category
- Qualcomm (this employer) · 104 open roles · median 114 d
- NVIDIA · 89 open roles · median 56 d
- AMD · 38 open roles · median 96 d
- Micron Technology · 27 open roles · median 58 d
- Mobileye · 20 open roles · median 83 d
- Analog Devices · 18 open roles · median 41 d
How we counted: 509 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 23 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.