Senior Platform ML Engineer

We help people change their lives. BetterMood is the world’s largest mental wellness service. We set out on a mission to provide everyone with easy, affordable, and private access to improve their mental wellness anytime, anywhere. We’re taking mental healthcare to the next level. We combine clinical care, cutting-edge technology and data-driven product development to constantly learn, iterate, and improve. We are relentless in our pursuit of better, always questioning the status quo and discovering new ways to get things done and serve our members.

We are a community that grows together - both professionally and personally. Even with our exponential growth, our team is kept agile and nimble, allowing you to have a huge impact and carve your own path from day one. We invest in our team’s well-being and professional development because we know that business and individual growth go hand-in-hand. You will move fast, remain flexible, and be challenged every day. Join us!

What you will do

• Design, prototype and build machine learning systems, platforms, frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks
• Translate data science prototypes into scalable production implementations
• Establish pipelines to enable data scientists and software developers to automatically push their ML models into production
• Build the feature store and feature registry
• Partner with data engineers to make sure the machine learning and data platforms are supporting their needs
• Build model deployment platform that can simplify implementing new models
• Build end-to-end reusable pipelines from data acquisition to model output delivery
• Mentor and guide data scientists to deploy their models into production
• Design & Build ML (engineering) solutions that unlock new ML modeling capabilities for BetterMood
• Partner with data scientists to troubleshoot and optimize complex data pipelines
• Research cutting methodologies which most suit the ML needs for BetterMood

What we expect

• 3+ years of full time experience with data and/or backend engineering or equivalent
• Experience working with AWS EMR, Sagemaker or other cloud based platforms
• Experience designing, prototyping and deploying in distributed environments
• Familiarity with CI, CD and deployment tooling
• Fluent in working with containers
• Fluent in git version control
• Familiarity with release engineering and management
• Familiarity with networking concepts
• Experience integrating Machine Learning models in production (batch, streaming and online)
• Fluent in Machine Learning algorithms
• Expert in Python, and Java, or Scala
• Expert in using offline data storage and processing frameworks such as Hadoop and Hive
• Superb written and oral communication skills
• Industry experience building and productionizing innovative end-to-end Machine Learning systems
• Willingness to learn new technologies
• Comfortable in a high-growth, fast-paced and agile environment
• Strong knowledge of computer science fundamentals, including object oriented programming, data structures, and algorithms

What we offer

• Excellent health, dental, and vision coverage
• 401k benefits with employer matching contribution
• Ridiculous perks program
• Commuter benefits, FSA accounts, and Employee Stock Purchase Programs
• Building something that matters - loved by the people and admired by the press
• Any piece of hardware or software that will make you happy and productive
• Awesome people to work with
• Nothing to slow you down
• Helping people live a better life, every day