At MyFitnessPal, our vision is to be the most trusted brand for improving your health through better food choices. We believe good health starts with what you eat. We provide the tools and resources to reach your weight management goals.
MyFitnessPal encourages innovation and adoption of the latest technologies available to deliver an amazing experience for our members. Our diverse team of brilliant technologists builds and maintains native mobile applications, a web application, the world’s largest nutrition database, constantly evolving data science and AI/ML assets, the backend infrastructure and data platform required to support these applications and databases, as well as the business systems and data required to manage an awesome company. Technologies, services and/or languages we work with: SQL, Python, MySQL, Snowflake, Databricks, PyTorch, Huggingface, Weights & Biases, Docker, Kubernetes, Ray/Kubeflow, Elasticsearch.
Essential Duties:
We are looking for a Manager of Machine Learning who is responsible for leading and scaling a team of talented data scientists and machine learning engineers. To thrive in this role, you will execute well in an agile environment where we’ll depend on you to make pragmatic decisions, establish and use tight feedback loops, and take calculated risks based on your knowledge from collaborating with your peers. You’ve led teams and have managed ML experts as direct reports before, and are comfortable delivering and receiving feedback with trust and candor. You know that your success is dependent on the success of your team, and you’re committed to coach and serve. You have implemented and built MLOps tools and processes before, and have demonstrated the knowledge and technical ability to scale and support impactful ML models in production. You will report directly to the Vice President of Data Science & Engineering.
What you’ll be doing:
- Promote the professional growth and happiness of teammates through mentorship, coaching, and encouraging positive, fearless, and trust-based collaboration
- Develop strong working relationships with partners in product management, product engineering, data engineering, platform engineering, PMO, Business Intelligence, HR, Finance, and Marketing
- Be a hands-on leader of data scientists and ML engineers responsible for the development, maintenance and scalability of ML models that deliver a personalized experience throughout the MyFitnessPal user journey
- Build and scale a ML Ops environment to empower the ML team to deploy quickly and efficiently
- Partner with product engineering and data engineering to ensure the team adopts best practices for code development, DataOps/MLOps, testing, data quality, model maintenance and quality assurance
- Support resolution of production issues with ML model-driven production features
- Work with our engineering, data science, product and leadership teams in support of MyFitnessPal to solve critical user problems. This is a broad surface area and uses a variety of technologies
- Enjoy jumping in and contributing to the codebase as a hands-on member of the data science team
- Live our core values in all you do:
- Be Kind and Care
- Live Good Health
- Be Data-Inspired
- Champion Change
- Leave it Better than You Found It
- Make It Happen
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