Remote

Who We Are: 

At Calm, we have a simple, albeit BIG mission: to make the world a happier and healthier place. Through our website, blog, and app—filled with meditations, sleep stories, music, movement, and more—we’re redefining what mental care looks like in 2021 and beyond. With over 100 million users worldwide, 100,000 new users daily, and our growing partnerships with major companies, we’re having a positive effect on more and more people each and every day. And while the heart of Calm is digital, we are growing and expanding offline with a variety of products and services to help deliver on our mission of health and happiness, the world over. 

What We Do:

Our mission to help millions of users learn to meditate and sleep better through a personalized experience. Power Calm’s product experience and business operations with machine learning.  Build highly available and performant machine learning services. Lead and enable machine learning product development within Calm.

Data Scientists at Calm are focused on leveraging our growing dataset to help prioritize product and content development, identify optimization opportunities, and automate data flows and analyses for key decision makers. In this role, your initial analytics efforts will be focused in one of these areas: B2B (optimizing sales cycles and B2B user experience), User Acquisition (developing methodology to evaluate ad performance), or Product (providing data-driven recommendations that help improve user experience with our products). In this role, you will also work to increase the reliability and trustworthiness of our data by identifying data quality issues and the sources and magnitudes of such problems. You will set up monitoring and write tests to prevent recurrence of problems, potentially with anomaly detection approaches, and when possible, fix the issues.

What You’ll Do:

• Design, build, evaluate, and refine ML services as part of wider product development
• Partner cross functionally with product managers, designers, and engineers in an agile environment
• Work within a larger team of data scientists and engineers on data pipelines and experimentation
• Own a model from research paper to proof of concept to product integration
• Write tested, maintainable code and participate in code reviews
• Mature Calm’s MLOps and ML Infra while shipping individual services
• Act as an org-wide resource on machine learning and personalization
• Provide reasonable project timeline estimates and communicate regularly with stakeholders on project status
• Stay up-to-date with the latest machine learning literature and tools
• Prioritize projects with a business mindset and user empathy

Who You Are: 

• 5+ years of industry experience in developing and productionalizing machine learning models
• Advanced python and SQL skills
• Build software that integrates machine learning products into the Calm app
• Develop feature engineering data pipelines on large datasets
• Familiar with the modern MLOps Stack: feature store, model registry, CI/CD, model monitoring
• Pragmatic: balance scrappiness and rigor
• Great technical communicator
• Strong attention to detail
• Strong product and architectural instincts
• Experience in at least one of these areas:
  • Recommender systems
  • Bandits and Reinforcement Learning
  • Machine Learning in Health/Wellness technology