Principal AI Engineer
AI summary of the role
Lead the design and deployment of bespoke AI solutions across product design, marketing, supply chain, customer experience, and engineering at Alo Yoga.
What you’ll do
- Build bespoke AI solutions to accelerate business outcomes—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—transition ad hoc experiments into maintainable, production-grade systems or reusable components.
- Collaborate cross-functionally with marketing, design, supply chain, retail operations, and engineering teams to translate real problems into AI-enabled solutions.
What you’ll bring
- 10+ years of experience in a data or software engineering field.
- 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.
Technologies
Python · SQL · AWS · GCP · Azure · LangChain · Hugging Face · OpenAI · computer vision · NLP
About Alo Yoga
Premium yoga and athleisure apparel brand selling DTC and via experiential 'sanctuary' stores, plus an Alo Moves fitness-content app, targeting style-conscious wellness consumers.
Bootstrapped · 2000–5000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
WHY JOIN ALO? 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. 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
More from the job description
WHY JOIN ALO? 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. 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—knowing when to build from scratch and when to leverage what already exists. RESPONSIBILITIES Build bespoke AI solutions to accelerate business outcomes—anything from product image generation to conversational assistants or process automation. Prototype rapidly using APIs, open models, and cloud-native services to validate ideas an [... source excerpt omitted ...] plement responsible AI practices that ensure transparency, fairness, and explainability across applications. Mentor and coach peers in practical AI adoption and experimentation. QUALIFICATIONS 10+ years of experience in a data or software engineering field. MS or PhD in Artificial Intelligence, Machine Learning, or Data Science. Equal parts builder, hacker, and architect—you can ship a working demo in a day but think in systems that can scale for years. Comfortable working without a map—you thrive in ambiguity and see constraints as creative opportunities. Skilled in Python, SQL, and cloud AI platforms (AWS, GCP, Azure) and fluent in modern AI frameworks (LangChain, Hugging Face
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