AI/ML Summer Intern: Video Intelligence & NLP

DIRECTV; Albuquerque (NM); On-site; USD 34,000 - 47,000; Part time

Job summary

DIRECTV’s Summer Intern in AI/ML joins to work on real-world problems within Product Development, building AI-powered video solutions and enhancing the customer experience. This in-person role is based in Clarksburg, MD, with hands-on projects across data processing, model development, and evaluation.

You will gain exposure to Python, ML pipelines, and cutting-edge tools, collaborating with cross-functional teams, delivering prototypes and dashboards, and presenting findings to stakeholders

Qualifications

• Pursuing a four-year degree in AI/CS/Data Science
• Required: Proficiency in Python and its ML ecosystem (NumPy and pandas) with the ability to write reproducible training and evaluation scripts
• Assist in selecting the appropriate machine learning approach (supervised, unsupervised, deep learning, or reinforcement learning) based on problem type and data availability
• Support the end-to-end model development lifecycle, including data collection, preprocessing, feature extraction and selection, training, and validation
• Build and benchmark baseline models in Python, including linear regression, decision trees, and support vector machines, for classification and regression tasks
• Operating Systems and tools: Linux and/or Android, Claude Code and OpenAI API
• Apply unsupervised learning techniques such as clustering, principal component analysis, and association rule mining to explore unlabeled datasets
• Identify and address overfitting and underfitting, applying bias-variance trade-off analysis during model tuning and selection
• Evaluate model performance using appropriate metrics (accuracy, precision, recall, mean squared error) and recommend evaluation criteria suited to the problem domain
• Experiment with ensemble methods (bagging, boosting, random forests) to improve prediction accuracy and generalization over single-model baselines
• Prototype deep learning architectures - CNNs for image data, RNNs for sequential data, and transformers for NLP - using PyTorch or TensorFlow
• Support experimentation with generative AI setups, including transformer-based language models and GANs for synthetic data generation
• Cross functional collaboration; Strong presentation skills

Responsibilities

• Develop AI/ML tooling and prototypes for video content analysis
• Benchmark models and pipelines end-to-end from data to evaluation
• Collaborate with cross-functional teams to present findings and demos
• Experiment with embeddings, semantic search, and topic modeling for video data
• Support hands-on development of AI-powered media intelligence solutions

Skills

Python

NumPy

pandas

ML concepts

Model training

PyTorch

TensorFlow

Data preprocessing

Education

Pursuing a four-year degree in AI/CS/Data Science

Tools

Linux

Claude Code

OpenAI API

Android

Job description

DIRECTV’s Summer Intern in AI/ML joins to work on real-world problems within Product Development, building AI-powered video solutions and enhancing the customer experience. This in-person role is based in Clarksburg, MD, with hands-on projects across data processing, model development, and evaluation.

You will gain exposure to Python, ML pipelines, and cutting-edge tools, collaborating with cross-functional teams, delivering prototypes and dashboards, and presenting findings to stakeholders