Data Intern - AI

ALO • Beverly Hills, CA

3h • $45 - $50 • Onsite

About The Position

Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.
At ALO, we merge art, data, and mindfulness. You’ll be part of a team shaping how technology enhances well-being and creativity—using data not just to optimize, but to inspire.
OVERVIEW
Join ALO’s Artificial Intelligence and Data Science team to explore the frontiers of applied AI in wellness, fashion, and retail. You’ll prototype intelligent systems that power personalization, content generation, computer vision, and decision automation.
The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

Requirements

• MS or PhD in Artificial Intelligence, Machine Learning, or Data Science
• Strong foundations in statistics, optimization, and deep learning
• Proficiency with Python and frameworks like PyTorch or TensorFlow
• Familiarity with cloud ML workflows (AWS Sagemaker, Vertex AI, or Databricks)

Nice To Haves

• Experience in generative modeling (LLMs, diffusion, or multimodal AI)
• Research exposure in reinforcement learning, embeddings, or representation learning
• Publications or open-source contributions in ML/AI fields
• Experience in implementing / developing model evaluation frameworks

Responsibilities

• Research and implement state-of-the-art machine learning and generative AI models
• Build prototypes for AI-powered product recommendations, personalization, and digital experiences
• Collaborate with engineers and data scientists to evaluate models for accuracy, fairness, and interpretability
• Contribute to scalable model deployment pipelines and experimentation frameworks
• Document findings, benchmarks, and insights for future iterations

What This Job Offers

• Job Type: Full-time
• Career Level: Intern