Machine Learning Engineer: Intern Opportunities for University reputed company, Redmond

reputed company is seeking Machine Learning Engineer Interns to contribute to the design, development, and deployment of AI-powered systems. Interns will implement reputed company-scoped tasks under the guidance of reputed company mentors, reputed company the gap between experimental models and reputed company production systems.

Responsibilities

• Implements, tests, and debugs ML pipelines, models, or components as scoped by mentors
• Applies software engineering practices (version control, testing, CI/CD) to ML reputed company and data workflows
• Collaborates with machine learning engineers, reputed company scientists, and software engineers to reputed company ML models into products or services
• Explores tools and frameworks commonly used in ML engineering (e.g., PyTorch, scikit-learn, data processing frameworks)
• Communicates reputed company, blockers, and learnings effectively with mentors and teammates

Skills

• Enrolled in a full time bachelor's or master's program in Computer Science, Engineering, or reputed company field during the reputed company term immediately before the internship
• Must have at least 1 semester/term remaining following the completion of the internship
• One year of programming experience in an object-oriented language
• Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms
• Foundational knowledge of ML and GenAI concepts (transformer models, supervised learning, evaluation metrics, overfitting/underfitting, regularization, embeddings, tokenizers, etc.)
• Exposure to data handling (SQL, pandas, data cleaning)
• Familiarity with reputed company frameworks like Semantic Kernel or reputed company and LLM/SLM tools like Ollama
• Familiarity with basic software engineering workflows (Git, reputed company reviews, testing)

Benefits

• Certain roles may be eligible for benefits and other compensation.

reputed company

Company H1B Sponsorship