6 days ago
Deep Learning Model Efficiency Research Engineer
Qualcomm
On Site
Full Time
$150,000
Seoul, Seoul, South Korea
Job Overview
Job TitleDeep Learning Model Efficiency Research Engineer
Job TypeFull Time
Offered Salary$150,000
LocationSeoul, Seoul, South Korea
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Job Description
Deep Learning Model Efficiency Research Engineer
Qualcomm AI Research is seeking world-class researchers and engineers in machine learning and deep learning. Join a high-caliber team building advanced machine learning technology, on-device AI solutions, and user-friendly model optimization tools like the Qualcomm Innovation Center’s AI Model Efficiency Toolkit. Our goal is to enable state-of-the-art networks to run on devices with limited power, memory, and computation.
Responsibilities
- Apply model efficiency tools to a wide variety of use cases.
- Provide detailed analysis of model performance.
- Optimize algorithms for speed, accuracy, and power consumption.
- Develop best practices for model efficiency.
- Contribute to the continuous evolution of model efficiency tools.
Required Skills
- Bachelor's degree in Engineering, Computer Science, or related field.
- Strong understanding of Machine Learning fundamentals.
- Strong programming skills with ML frameworks.
- Excellent analytical, development, and debugging skills.
- Excellent interpersonal, written, and oral communication skills.
Preferred Skills
- MS or PhD in Computer Science/Engineering with 1+ years of professional experience or equivalent experience.
- 2+ years of proven experience in algorithm design and software development for machine learning.
- Proficiency in designing, implementing, and training DL/RL algorithms in PyTorch and TensorFlow.
- Strong background in at least one of the following: Machine learning theory/optimization methods; Model compression/quantization/optimization for embedded devices; Neural Architecture Search/kernel optimization; Computer vision; Audio and speech/NLP.
- Experience with improving AI algorithm efficiency for deployment, including familiarity with open-source solutions like Qualcomm Innovation Center’s AI Model Efficiency Toolkit (AIMET).
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of relevant work experience (Hardware Engineering, Software Engineering, Systems Engineering, etc.).
- OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of relevant work experience.
- OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of relevant work experience.
Key skills/competency
- Deep Learning
- Machine Learning
- Model Optimization
- Embedded AI
- Algorithm Design
- PyTorch
- TensorFlow
- Computer Vision
- NLP
- Research Engineering
How to Get Hired at Qualcomm
- Tailor your resume: Highlight your machine learning, deep learning, and model optimization experience, aligning it with Qualcomm's focus on embedded AI.
- Showcase your projects: Quantify your achievements in algorithm design, software development, and framework proficiency (PyTorch, TensorFlow).
- Demonstrate problem-solving: Prepare to discuss how you've improved speed, accuracy, and power consumption of neural networks.
- Research Qualcomm's AI: Familiarize yourself with their AI Research initiatives and tools like AIMET to show genuine interest.
- Prepare for technical interviews: Be ready for deep dives into ML theory, optimization methods, and embedded system constraints.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What specific AI model efficiency tools does Qualcomm use for this Deep Learning Research Engineer role?
02What kind of problems will I solve as a Deep Learning Model Efficiency Research Engineer at Qualcomm Korea?
03Is this Deep Learning Research Engineer role focused on theoretical research or practical application?
04What programming languages and frameworks are essential for this Qualcomm AI Research position?
05What is the expected educational background for the Deep Learning Model Efficiency Research Engineer role at Qualcomm?
06Does Qualcomm offer accommodations for individuals with disabilities applying for the Deep Learning Research Engineer position?
07What does 'model compression/quantization/optimization for embedded devices' mean in the context of this role?
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