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Machine Learning/AI Internship at AMD (Fall 2025 | Hybrid | Santa Clara/San Jose)

๐Ÿš€ About AMD & the AI/ML Internship Program

AMD is at the forefront of AI acceleration hardware and software, powering next-generation computing for data centers, gaming, and embedded systems. Our Fall 2025 PhD internship in Santa Clara/San Jose offers a unique opportunity to work on cutting-edge ML/AI research alongside AMD's world-class engineers.

๐Ÿ”น Position: Machine Learning/AI Intern (PhD)
๐Ÿ”น Duration: September 8 - December 12, 2025 (Full-time)
๐Ÿ”น Location: Santa Clara or San Jose, CA (Hybrid)
๐Ÿ”น Salary Range: $91,520 - $137,280/year (pro-rated)
๐Ÿ”น Apply Link: https://careers.amd.com/careers-home/jobs/63600


๐Ÿ’ผ Research Areas & Responsibilities

1️⃣ AI/ML Algorithm Development

  • Research and implement novel ML techniques for:

    • Source code analysis (program synthesis, bug detection)

    • Image corruption detection (computer vision applications)

  • Optimize deep learning models (CNN, Transformers) for AMD hardware

  • Develop quantization/pruning techniques for efficient inference

2️⃣ High-Performance AI Computing

  • Benchmark and accelerate PyTorch/TensorFlow models on AMD GPUs

  • Explore distributed training strategies for large-scale AI

  • Implement model compression for edge devices

3️⃣ Production AI Deployment

  • Containerize ML models using Docker/Kubernetes

  • Build ML pipelines for AMD's software stack

  • Improve model monitoring and drift detection

4️⃣ Cross-Functional Collaboration

  • Work with hardware architects on AI accelerator design

  • Present findings to AMD research leadership

  • Contribute to patents and publications


๐ŸŽฏ Ideal Candidate Profile

Academic Qualifications

✔ Current PhD student in:

  • Computer Science

  • Electrical/Computer Engineering

  • Data Science/Analytics

  • Related AI/ML fields

Technical Skills (Required)

๐Ÿ”น Strong Python/C++ programming
๐Ÿ”น Expertise in PyTorch/TensorFlow
๐Ÿ”น Solid foundation in:

  • Deep learning architectures

  • Optimization theory

  • Probability/statistics

Preferred Experience

๐Ÿ”ธ Publications in ML/CV/NLP conferences
๐Ÿ”ธ Experience with:

  • CUDA/ROCm programming

  • ML compilers (TVM, MLIR)

  • Cloud ML services (AWS SageMaker, GCP Vertex AI)


๐ŸŒŸ Why This Internship Stands Out

1️⃣ Work on Industry-Defining AI

  • Contribute to AMD's AI acceleration roadmap

  • Research next-gen ML techniques with real-world impact

2️⃣ Exceptional Learning Environment

  • 1:1 mentorship from AMD Fellows

  • Access to state-of-the-art AI clusters

  • Weekly research discussion groups

3️⃣ Career Growth Opportunities

  • Potential to publish/present research

  • Patent filing support

  • Full-time conversion pathways

4️⃣ Comprehensive Benefits

๐Ÿ’ฐ Competitive stipend ($44-66/hour)
๐Ÿฅ Health insurance coverage
๐Ÿ’ป Relocation assistance (if needed)


๐Ÿ“ Application Process

Step-by-Step Timeline

1️⃣ Online Application (Resume + Transcripts)
2️⃣ Technical Screening (Coding + ML fundamentals)
3️⃣ Research Interview (Project deep dive)
4️⃣ Team Matching (Based on skills/interests)
5️⃣ Offer & Onboarding

๐Ÿ“Œ Pro Tip: Highlight research publications and open-source contributions!


๐Ÿ”Ž Final Thoughts

This AMD AI/ML internship is perfect for PhD candidates who want to:
✔ Apply cutting-edge research to real products
✔ Work alongside industry-leading AI experts
✔ Gain silicon-to-software ML experience

๐Ÿš€ Ready to advance AI with AMD? Apply today!


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