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Research Intern, AI System Analysis

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • San Jose
  • Quick Apply

AI generated summary

  • You must be enrolled in a CS or STEM program, have hands-on ML/DL experience, strong Python/CUDA/C skills, and familiarity with ML algorithms. Excellent communication and teamwork skills are essential.
  • You will analyze AI systems, contribute to evaluations, build and test LLMs, monitor GPU usage, and document findings while learning about AI advancements and applications.

Requirements

  • Accepted or currently enrolled in a BS/MS program in Computer Science or a related STEM field
  • Hands on experience with ML/DL frameworks like TensorFlow/Keras or PyTorch
  • Excellent programming skills in Python, CUDA, and C
  • Proficiency in programming languages like Python and R, including relevant libraries like Pandas, NumPy, Scikit-learn
  • Familiarity with machine learning algorithms and concepts (e.g., supervised learning, unsupervised learning, deep learning)
  • Ability to work independently and collaboratively within a team
  • Excellent communication and problem-solving skills

Responsibilities

  • Analyzing distributed AI training/inferencing systems, contributing to the evaluation of AI systems, and gaining hands-on experience with model training/inferencing, often under the guidance of experienced AI system engineers
  • Building and testing LLM systems, monitoring GPU resource usage
  • Documenting findings while actively learning about the latest advancements in AI systems and its applications.

FAQs

What is the duration of the internship?

The internship lasts from June 2025 to August 2025.

Where is the office location for this internship?

The office location for this internship is in San Jose, CA.

What is the work model for this internship?

The work model for this internship is onsite.

What will be the main project assignment for the intern?

The main project assignment for the intern will be focused on AI - System Analysis.

What educational qualifications are required for this position?

Candidates must be accepted or currently enrolled in a BS/MS program in Computer Science or a related STEM field.

What programming skills are necessary for this internship?

Excellent programming skills in Python, CUDA, and C are necessary, along with proficiency in programming languages like Python and R.

What machine learning frameworks should the candidate be familiar with?

Candidates should have hands-on experience with ML/DL frameworks like TensorFlow/Keras or PyTorch.

Will there be any housing allowance provided for interns?

Yes, eligible interns will receive a housing allowance during their internship.

Is there an equal employment opportunity policy?

Yes, SK hynix America provides equal employment opportunities to all qualified applicants and prohibits discrimination and harassment of any kind.

What is the pay range for this internship position?

The U.S. pay range for this position is $25.00 - $47.00 per hour, depending on the specific job location.

We Do Technology

Manufacturing & Electronics
Industry
201-500
Employees
1983
Founded Year

Mission & Purpose

Semiconductors are essential to all IT products, and its performance often determines the performance of the final products. SK hynix is a global leader in producing semiconductor, such as DRAM, NAND Flash and CMOS Image Sensors. With these technology driven semiconductor products, SK hynix has consistently led the industry and is now the second largest memory chip maker worldwide. IT devices become more pervasive as new imaginative and innovative IT products continue to grab imagination and desires of consumers. SK hynix has enhanced its competency with the best level of technology and a wide range of business portfolios in order to satisfy all those demand from customers. As a member of SK Group*, SK hynix is aiming at becoming the world’s best semiconductor company. SK hynix America Inc. operates as a subsidiary of SK Hynix Inc. *SK Group is one of South Korea's top five industrial conglomerates. It has about 40 affiliated companies, ranging from energy, telecommunications, finance, to construction.