INTERNSHIP DETAILS
Data Intern - AI
Company ALO
LocationBeverly Hills
Work ModeOn Site
PostedFebruary 3, 2026

Internship Information
Core Responsibilities
The intern will research and implement state-of-the-art machine learning and generative AI models, building prototypes for AI-powered recommendations and personalization. They will also collaborate on evaluating models and contributing to scalable deployment pipelines.
Internship Type
full time
Salary Range
$45 - $50
Company Size
5299
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We are ALO. We inspire mindful movement, wellness, and taking the consciousness of physical practice and meditation into the world - this is the real studio to street.
We make technologically advanced activewear, scientifically forward, clean beauty & wellness solutions, and igniting movement & mindfulness content to bring more mind-body wellness to the world.
Alo stands for Air, Land, Ocean. Behind everything we do is the intention to protect and respect our planet's resources with solar power and sweatshop-free, eco-aware production, our non profit has brought yoga and mindfulness to millions.
Alo is a feeling. We see a tomorrow where the pursuit of happiness starts with one intentional breath, where health is wealth and where joining together to lift each other up changes the vibration of the world.
About the Role
<div class="content-intro"><p><strong>WHY JOIN ALO?</strong></p>
<p>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.</p></div><p><span class="TextRun SCXW174725368 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW174725368 BCX0">At ALO, we merge art, data, and mindfulness. </span><span class="NormalTextRun SCXW174725368 BCX0">You’ll</span><span class="NormalTextRun SCXW174725368 BCX0"> be part of a team shaping how technology enhances well-being and creativity—using data not just to </span><span class="NormalTextRun SCXW174725368 BCX0">optimize</span><span class="NormalTextRun SCXW174725368 BCX0">, but to inspire.</span></span><span class="EOP SCXW174725368 BCX0" data-ccp-props="{}"> </span></p>
<p><strong>OVERVIEW</strong></p>
<p><span class="TextRun SCXW12312276 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW12312276 BCX0">Join ALO’s Artificial Intelligence and Data Science team to explore the frontiers of applied AI in wellness, fashion, and retail. </span><span class="NormalTextRun SCXW12312276 BCX0">You’ll</span><span class="NormalTextRun SCXW12312276 BCX0"> prototype intelligent systems that power personalization, content generation, computer vision, and decision automation.</span></span><span class="EOP SCXW12312276 BCX0" data-ccp-props="{}"> </span></p>
<p>The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.</p>
<p><strong>RESPONSIBILITIES </strong><em> </em></p>
<ul>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Research and implement </span><span data-ccp-parastyle="List Bullet">state-of-the-art</span><span data-ccp-parastyle="List Bullet"> machine learning and generative AI models</span></span></li>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Build prototypes for AI-powered product recommendations, personalization, and digital experiences</span></span></li>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Collaborate with engineers and data scientists to evaluate models for accuracy, fairness, and interpretability</span></span></li>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Contribute to scalable model deployment pipelines and experimentation frameworks</span></span></li>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Document findings, benchmarks, and insights for future iterations</span></span></li>
</ul>
<p><strong>REQUIRED QUALIFICATIONS</strong></p>
<ul>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">MS or PhD in Artificial Intelligence, Machine Learning, or Data Science</span></span></li>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Strong foundations in statistics, optimization, and deep learning</span></span></li>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Proficiency</span><span data-ccp-parastyle="List Bullet"> with Python and frameworks like </span><span data-ccp-parastyle="List Bullet">PyTorch</span><span data-ccp-parastyle="List Bullet"> or TensorFlow</span></span></li>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Familiarity with cloud ML workflows (AWS </span><span data-ccp-parastyle="List Bullet">Sagemaker</span><span data-ccp-parastyle="List Bullet">, Vertex AI, or Databricks)</span></span></li>
</ul>
<p><span data-contrast="auto"><span data-ccp-parastyle="List Bullet"><strong>PREFERRED QUALIFICATIONS</strong></span></span></p>
<ul>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Experience in generative modeling (LLMs, diffusion, or multimodal AI)</span></span></li>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Research exposure in reinforcement learning, embeddings, or </span><span data-ccp-parastyle="List Bullet">representation</span><span data-ccp-parastyle="List Bullet"> learning</span></span></li>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Publications or open-source contributions in ML/AI fields</span></span></li>
<li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Experience in implementing / developing model evaluation frameworks</span></span></li>
</ul>
<p><strong><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">WHAT YOU'LL LEARN</span></span></strong></p>
<p class="p1"><span class="TextRun SCXW72899099 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW72899099 BCX0">You’ll</span><span class="NormalTextRun SCXW72899099 BCX0"> work hands-on with </span><span class="NormalTextRun SCXW72899099 BCX0">real business</span><span class="NormalTextRun SCXW72899099 BCX0"> and creative datasets, gaining experience in how AI augments customer experience and design workflows in a mission-driven brand.</span></span></p>
<p class="p1">The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.</p>
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<div class="p-rich_text_section">For CA residents, Job Applicant Privacy Policy <a class="c-link" href="https://cdn.shopify.com/s/files/1/2185/2813/files/CCPA_Workforce_Member_Privacy_Policy_-_Alo_Alo_INTL_IP_Inc._-_July_2025_-_CA_ONLY_1.pdf?v=1762796781" target="_blank" data-stringify-link="https://cdn.shopify.com/s/files/1/2185/2813/files/CCPA_Workforce_Member_Privacy_Policy_-_Alo_and_Bella_Canvas_-_June_2023_-_CA_ONLY.pdf?v=1687812344" data-sk="tooltip_parent">HERE</a>.</div>
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Key Skills
Machine LearningGenerative AIPrototypingPersonalizationComputer VisionDecision AutomationStatisticsOptimizationDeep LearningPythonPyTorchTensorFlowCloud ML WorkflowsGenerative ModelingLLMsDiffusion Models
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Data & AnalyticsScience & ResearchSoftwareTechnologyEngineering
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