Machine Learning Engineer

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. 

Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.

The Role You’ll Play 

• Develop and deploy production-ready machine learning models across a wide range of applications. 
• Monitor and maintain the performance of models in production environments. 
• Engineer and integrate data from multiple sources to fuel training pipelines, predictions, and business insights. 
• Collaborate with Product Managers to ensure solutions align with customer impact and business goals. 
• Write clean, testable, and scalable code while contributing to shared design documents and engineering discussions. 
• Conduct peer reviews to uphold engineering quality and share knowledge across the team. 
• Stay current with emerging technologies in ML, data engineering, and AI. 

Experience You Bring 

• 2+ years of hands-on experience building and deploying machine learning models in production. 
• Proficiency in Python and SQL, with a strong understanding of data manipulation and model pipelines. 
• Excellent communication skills, both written and verbal, with the ability to explain technical work in a clear and thoughtful way. 
• Intellectual curiosity and a bias for action—you’re excited to explore, experiment, and iterate. 
• Strong business intuition and the ability to balance technical rigor with customer outcomes. 
• A results-driven mindset—you care more about solving the problem than using the flashiest method. 
• A proactive approach to identifying and solving complex challenges—both independently and in collaboration. 

Have we piqued your curiosity?

Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.

Playlist is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.

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