Machine Learning Intern (Bachelor's Degree)
Marvell TechnologyJob Title
Machine Learning Intern (Bachelor's Degree)
Role Summary
Student AI engineer on the Machine Learning team developing high-throughput, low-latency accelerator IP for deep learning training and inference. Work closely with Data Scientists to model and simulate deep learning algorithms and evaluate performance on proprietary accelerator hardware and on CPU/GPU platforms.
Experience Level
Entry-level internship.
Responsibilities
Key responsibilities include:
- Collaborate with Data Scientists to model and run performance analysis of deep learning architectures on the proprietary accelerator.
- Run deep learning benchmarks on CPU and GPU and compare results to accelerator performance.
- Model accelerator operations (e.g., convolution, matrix multiplication, pooling, back-propagation) and analyze performance.
- Review technical reports and research papers relevant to implemented algorithms and hardware.
- Write technical reports documenting experiments, methods, and results.
Requirements
Must-have technical skills and experience:
- Proficient programming in Python and C++.
- Familiarity with fundamental deep learning concepts and machine learning algorithms.
- Understanding of computer hardware architecture and multi-core processors.
- Familiarity with high-performance computing, distributed processing, algorithms, and data structures.
- Strong written and verbal communication skills.
Nice-to-have:
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Comfortable with Linux development environment.
- Familiarity with linear algebra algorithms such as matrix factorization and SVD.
Education Requirements
Currently enrolled in a university and registered in the school's co-op program; expected at least Bachelor's degree level or currently pursuing a Bachelor's degree. Master’s or Ph.D. students are noted as preferred.
About the Company
Company: Marvell Technology
Headquarters: Santa Clara, California, United States
Marvell’s semiconductor solutions serve as essential building blocks of the data infrastructure connecting our world, driving innovation across enterprise, cloud, AI, and carrier architectures. The company focuses on creating transformative technology that shapes the future.
