Summer AI/ML Product Development Intern (Video)

DIRECTV; Clarksburg (MD); On-site; USD 34,000 - 47,000; Part time

Job summary

DIRECTV is offering a Summer Intern position in Clarksburg, MD, focusing on AI/ML for media intelligence. You will work with the Product Development team on real-world problems, applying ML to video content analysis and natural-language search across streams.

The role requires pursuing an undergrad or advanced degree in AI/CS/Software Eng/IT/Data Science, with strong Python and ML ecosystem skills. In-person 10-week program; hourly compensation offered.

Qualifications

• Proficiency in Python and ML ecosystem; ability to write reproducible training/evaluation scripts.
• Experience selecting ML approaches (supervised/unsupervised/deep learning/RL) based on data.
• End-to-end model development lifecycle: data collection, preprocessing, feature extraction, training, validation.

Responsibilities

• Build and benchmark baseline models in Python (e.g., linear regression, decision trees, SVM) for classification/regression.
• Develop data pipelines and evaluate model performance using appropriate metrics.
• Experiment with embeddings, semantic search, and prototyping tools/dashboards for media intelligence use cases.
• Evaluate models, tune hyperparameters, mitigate overfitting/underfitting; apply bias-variance analysis.

Skills

Strong presentation skills

Cross-functional collaboration

Education

Undergraduate or advanced degree in AI/CS/Software Eng/IT/Data Science

Tools

Python

NumPy

pandas

PyTorch

TensorFlow

OpenAI API

Claude Code

Job description

DIRECTV is offering a Summer Intern position in Clarksburg, MD, focusing on AI/ML for media intelligence. You will work with the Product Development team on real-world problems, applying ML to video content analysis and natural-language search across streams.

The role requires pursuing an undergrad or advanced degree in AI/CS/Software Eng/IT/Data Science, with strong Python and ML ecosystem skills. In-person 10-week program; hourly compensation offered.