Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Automation, Cloud Computing, Coaching, Computer Hacking, Computer Vision, Cross-Functional, Customer Experience, Data Science, Demand Forecasting/Planning, Demand Generation, GCP (Good Clinical Practices), Machine Learning, Marketing, Mentoring, Microsoft Windows Azure, Natural Language Processing (NLP), Product Demonstration, Product Design, Product Marketing, Production Systems, Proof of Concept, Prototyping, Python Programming/Scripting Language, Retail, Retail Operations, SQL (Structured Query Language), Semantic Search, Supply Chain, Supply Chain Operations
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Principal AI Engineer
Beverly Hills, California, United States
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WHY JOIN ALO?
Mindful movement. It's at the core of why we do what we do at ALO\u2014it'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.
OVERVIEW
Join ALO's Artificial Intelligence and Data Science team to explore the frontiers of applied AI in wellness, fashion, and retail. You'll build intelligent systems that power personalization, content generation, computer vision, and decision automation.
We're looking for a hands-on AI Engineer who loves to build. You'll design and deploy bespoke, high-impact AI solutions that stretch across product design, marketing, supply chain, customer experience, and engineering. Some projects will be fast-turnaround proofs of concept; others will grow into scalable internal platforms. You'll balance the art of creative experimentation with the discipline of technical rigor\u2014knowing when to build from scratch and when to leverage what already exists.
RESPONSIBILITIES
- Build bespoke AI solutions to accelerate business outcomes\u2014anything from product image generation to conversational assistants or process automation.
- Prototype rapidly using APIs, open models, and cloud-native services to validate ideas and demonstrate value.
- Design for scale\u2014transition ad hoc experiments into maintainable, production-grade systems or reusable components.
- Evaluate external AI platforms and tools for integration potential, cost, and business fit.
- Collaborate cross-functionally with marketing, design, supply chain, retail operations, and engineering teams to translate real problems into AI-enabled solutions.
- Implement responsible AI practices that ensure transparency, fairness, and explainability across applications.
- Mentor and coach peers in practical AI adoption and experimentation.
QUALIFICATIONS
- Equal parts builder, hacker, and architect\u2014you can ship a working demo in a day but think in systems that can scale for years.
- Comfortable working without a map\u2014you thrive in ambiguity and see constraints as creative opportunities.
- MS or PhD in Artificial Intelligence, Machine Learning, or Data Science.
- Skilled in Python, SQL, and cloud AI platforms (AWS, GCP, Azure) and fluent in modern AI frameworks (LangChain, Hugging Face, OpenAI, etc.).
- Strong grasp of ML fundamentals (classification, NLP, computer vision, embeddings) and practical data engineering.
- Experience in integrating AI into business workflows\u2014e.g., automating content generation, demand forecasting, or intelligent search.
- Naturally curious about the intersection of human creativity and artificial intelligence, and driven by impact, not novelty.
- Experience in implementing / developing model evaluation frameworks.
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