Machine Learning Engineer Intern, BS/MS - Summer 2027

Public source summary from intern-list.com / Jobright.

Marvell Technology develops semiconductor solutions and data infrastructure technologies for enterprise, cloud, AI, and carrier architectures. The Machine Learning Engineer Intern will support the Machine Learning Platform team by monitoring and optimizing large-scale AI/ML workloads, evaluating model deployment performance, and improving distributed infrastructure, data pipelines, and storage efficiency.

Responsibilities

Monitor and analyze AI platform performance across distributed computing environments Identify opportunities to optimize machine learning training and inference workloads Support GPU cluster and cloud infrastructure capacity planning and resource management Evaluate model deployment performance, including latency, throughput, and scalability metrics Troubleshoot system performance issues and infrastructure challenges impacting ML workloads Collaborate with cross-functional engineering teams to improve AI infrastructure and platform efficiency Enhance data pipeline and storage performance for large-scale machine learning applications

Qualifications: Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field with an expected graduation date between Fall 2027 and Summer 2028 Proficiency in Python for manipulation and analysis Knowledge of GPU computing, CUDA programming, networking fundamentals, and distributed systems concepts Familiarity with distributed computing environments, cloud platforms (AWS, GCP, Azure), and containerization technologies such as Docker and Kubernetes Understanding of system monitoring, logging, and performance analysis concepts Strong analytical and problem-solving skills, with experience in data analysis and visualization Exposure to machine learning workflows, model deployment, and lifecycle management Strong written and verbal communication skills, with the ability to present technical findings to diverse stakeholders Applicants must be eligible to access export-controlled information as defined under applicable law

Benefits: Medical, dental, and vision coverage for interns Perks and discounts for interns Robust mental health resources to prioritize emotional well-being for interns Paid holidays for interns Additional compensation may be available for intern PhD candidates