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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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