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Intern for Edge AI Model Zoo Optimization Research & Engineering(m/w/x)
Integrating discriminative and generative models, automating benchmarking for NXP embedded systems. Solid AI/ML fundamentals with PyTorch/TensorFlow and Python experience required. 30 days vacation, on-site cafeteria access.
Requirements
- Solid understanding of AI/ML fundamentals (CNNs, Generative models like LLMs/VLMs) and experience with PyTorch/TensorFlow
- Strong hands-on experience with Python and software development best practices
- Familiarity with model compression techniques (Quantization, Pruning, Knowledge Distillation)
- Basic knowledge of Linux and Git
- Familiarity with RESTful API development (FastAPI) and OpenAI-compatible inference endpoints
- Advantageous experience with edge AI deployment (TFLite, ONNX, Executorch)
- Pursuing Master's degree in Computer Science, AI, ML, or related field
- Strong analytical and problem-solving skills, ability to work independently
- Excellent English communication skills
- Enthusiasm for exploring new technologies and contributing to AI research
Tasks
- Integrate Discriminative and Generative Models into the Model Zoo.
- Automate model benchmarking for accuracy, latency, memory, and hardware.
- Explore and evaluate model optimization on NXP embedded systems.
- Document findings.
- Contribute to internal knowledge bases and tooling.
- Collaborate with team members to identify development directions.
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- TensorFlow
- Python
- Linux
- Git
- FastAPI
- OpenAI-compatible inference endpoints
- TFLite
- ONNX
- Executorch
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 2.5 days vacation per month
Free or Subsidized Food
- On-site cafeteria access
Other Benefits
- Networking initiatives
- Employee Resource Groups
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Intern for Edge AI Model Zoo Optimization Research & Engineering(m/w/x)
Integrating discriminative and generative models, automating benchmarking for NXP embedded systems. Solid AI/ML fundamentals with PyTorch/TensorFlow and Python experience required. 30 days vacation, on-site cafeteria access.
Requirements
- Solid understanding of AI/ML fundamentals (CNNs, Generative models like LLMs/VLMs) and experience with PyTorch/TensorFlow
- Strong hands-on experience with Python and software development best practices
- Familiarity with model compression techniques (Quantization, Pruning, Knowledge Distillation)
- Basic knowledge of Linux and Git
- Familiarity with RESTful API development (FastAPI) and OpenAI-compatible inference endpoints
- Advantageous experience with edge AI deployment (TFLite, ONNX, Executorch)
- Pursuing Master's degree in Computer Science, AI, ML, or related field
- Strong analytical and problem-solving skills, ability to work independently
- Excellent English communication skills
- Enthusiasm for exploring new technologies and contributing to AI research
Tasks
- Integrate Discriminative and Generative Models into the Model Zoo.
- Automate model benchmarking for accuracy, latency, memory, and hardware.
- Explore and evaluate model optimization on NXP embedded systems.
- Document findings.
- Contribute to internal knowledge bases and tooling.
- Collaborate with team members to identify development directions.
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- TensorFlow
- Python
- Linux
- Git
- FastAPI
- OpenAI-compatible inference endpoints
- TFLite
- ONNX
- Executorch
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 2.5 days vacation per month
Free or Subsidized Food
- On-site cafeteria access
Other Benefits
- Networking initiatives
- Employee Resource Groups
About the Company
NXP Semiconductors Germany GmbH
Industry
IT
Description
The company drives vehicle connectivity and energy efficiency, developing solutions for the vehicles of tomorrow.
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