Machine Learning Engineer

WHO WE ARE SQUIRE is the leading business management system designed for the needs of barbers, shop owners, and their communities. We believe the pursuit of artistry and autonomy should not be restricted by the complexities of running a business. With SQUIRE, we provide custom-branded tools, resources, and guidance to help barbers of all stages and experience levels attract and retain more customers, efficiently manage their shop operations, and increase their revenue. Founded in 2015, SQUIRE is trusted by more than 30,000 barbers across 5,000+ shops in more than a thousand cities worldwide. From streamlined booking and opening new shops to real-time earning dashboards and building lasting customer relationships, SQUIRE supports shop owners in seamlessly bridging the gap between their personal craft and business goals. SQUIRE enables barbers everywhere to unlock their full potential both as artists and as entrepreneurs. For more information, please visit getsquire.com or download the SQUIRE app from the App or Play Store.   We’re hiring a Machine Learning Engineer to embed into our product teams and own the entire ML lifecycle—from prototype to production. This is not a role for model research or experimentation in a vacuum. We're looking for an engineer who thrives on taking state-of-the-art ML (especially LLMs and AWS-based solutions) and transforming it into deployed, maintainable, and scalable real-world systems that power SQUIRE’s products. If you’re passionate about building practical ML applications and turning ideas into shipping features, this role is for you.