Marvell Technology-posted 3 months ago
$26 - $51/Yr
Intern
Santa Clara, CA
5,001-10,000 employees

As a Data Science/Computer Science Intern, you will be part of our AI Development Team with a focus on Agentic AI - systems that don’t just answer questions but take meaningful actions, orchestrate workflows, and assist with complex tasks. You will contribute to the design, implementation, and optimization of AI agents and frameworks that bridge the gap between theoretical research and practical, real-world deployment. This role will give you exposure to every stage of the development lifecycle, from prototyping agent workflows to deploying production-ready solutions. You will collaborate with cross-functional teams to bring innovative, secure, and scalable Agentic AI solutions to life, applying your knowledge of machine learning, data science, and software engineering to create impactful technologies that improve business outcomes.

  • Lead the design and development of Agentic AI applications and workflows for real-world use cases.
  • Conduct research and experiments on new AI agent architectures and orchestration strategies.
  • Implement and optimize machine learning models and agent pipelines for performance and scalability.
  • Develop prototypes and proof-of-concept AI agents capable of performing multi-step tasks.
  • Benchmark and analyze the performance of existing AI agents, proposing enhancements to improve reliability and effectiveness.
  • Work with data engineers and software developers to integrate agents into larger platforms and applications.
  • Support the development of secure and compliant agent-based workflows that handle sensitive data.
  • Stay up-to-date with advancements in agentic AI, machine learning, and automation frameworks and apply them to ongoing projects.
  • Currently pursuing a degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
  • Proficiency in programming languages such as Python, R, or Java.
  • Solid understanding of machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch).
  • Prior exposure to data analysis, statistical modeling, and experimental design.
  • Knowledge of software development best practices, including version control (e.g., Git).
  • Strong problem-solving skills and ability to work in a collaborative team environment.
  • Previous experience with AI/ML projects, especially agent-based AI development.
  • Familiarity with advanced topics such as deep learning, reinforcement learning, or natural language processing.
  • Exposure to agent orchestration frameworks (e.g., LangChain, CrewAI, Semantic Kernel).
  • Familiarity with cloud computing services (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
  • Understanding of DevOps principles and experience with CI/CD pipelines.
  • Experience optimizing machine learning models for deployment and scalability.
  • Familiarity with research tools and libraries (e.g., SciPy, Keras, Hugging Face Transformers).
  • Medical, dental and vision coverage.
  • Perks and discount programs.
  • Wellness & mental health support including coaching and therapy.
  • Paid holidays.
  • Paid volunteer days.
  • Paid sick time.
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