Artificial Intelligence Intern

Job Description

Artificial Intelligence Intern | THRIVE: America

The Tone:
This is an internship at THRIVE: America, located in Houston, TX. THRIVE: America develops a mobile application that supports immigrants in the U.S. by providing essential resources for job searching, financial literacy, legal assistance, and community connections. This role contributes to a mission-driven product by developing, testing, and optimizing AI models that directly enhance the app’s ability to help users navigate new experiences and build successful lives.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: In-person, Houston, TX

• Team: Dedicated AI team, working closely with experienced AI engineers and data scientists
• Mission: Develop, test, and optimize AI models to be integrated directly into the THRIVE: America mobile app and related platforms.
• Tech Stack: TensorFlow, PyTorch, scikit-learn, Keras, Python, Pandas, NumPy, Natural Language Processing (NLP) techniques, AWS, Azure, GCP

What You’ll Actually Do
• Data Analysis: Analyze large and diverse datasets to identify trends, extract meaningful insights, and prepare data for model training.
• Algorithm Design: Collaborate on the design, development, and refinement of machine learning algorithms tailored to specific challenges faced by immigrants.
• Model Building: Build, train, and rigorously test various predictive models, focusing on accuracy, efficiency, and scalability.
• Model Optimization: Fine-tune models and algorithms to enhance performance, reduce inference time, and ensure robustness in real-world applications.
• Feature Integration: Work seamlessly with mobile developers and product managers to integrate AI-powered features into the mobile application, ensuring a smooth and impactful user experience.

The Must-Haves
• Background: Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
• Experience: Demonstrated proficiency in core computer science concepts including data structures, algorithms, and object-oriented programming. Solid understanding of fundamental machine learning concepts, model evaluation techniques, and data preprocessing methods. Proficient analytical skills to interpret complex data and draw actionable insights.
• Skills: Proficiency in programming languages commonly used in AI/ML, especially Python, along with libraries like Pandas and NumPy. Ability to work collaboratively within a team. Strong verbal and written communication abilities to articulate technical concepts.
• Bonus: Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras. Exposure to natural language processing (NLP) techniques and tools. Familiarity with cloud computing platforms like AWS, Azure, or GCP for AI/ML development.