Staff Machine Learning Engineer

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.

As a member of our MyFitnessPal Data Science team, you’ll have the opportunity to positively impact those users by creating the predictive models and AI that drives the MyFitnessPal ecosystem. In addition to technical expertise and passion, you’ll find that your teammates value collaboration, mentorship, and inclusive environments.

The Staff Machine Learning Engineer is responsible for leading the technical implementation of bleeding edge AI products. You will be responsible for technical design, delivery and maintenance of a new machine learning platform that will support multiple business purposes and application features. 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 technical design and mentored data science teams before, and are comfortable delivering and receiving feedback with trust and candor. You know that MyFitnessPal’s success is dependent on the success of the entire data science team, and you’re committed to coach and mentor a team of experienced engineers and data scientists.

This is an individual contributor role with strong mentorship expectations.

About our team:

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: MySQL, Snowflake, Databricks, Elasticsearch, Python, SQL, Kubernetes, Docker, Scale.ai, AWS Ground Truth, Doccano.

What you’ll be doing: 

• Be a hands-on technical leader of data scientists and ML engineers responsible for building and scaling recommendation systems and search features that support millions of daily users
• Design, build, and maintain robust, production-grade ML models and MLOps systems to power personalized experiences across the MyFitnessPal ecosystem
• Lead the development of recommendation models and AI features to enhance user engagement and improve search and product quality
• Partner with product engineering, data engineering, and data operations teams to ensure best practices for code development, DataOps/MLOps, testing, data quality, and quality assurance
• Evaluate and improve existing systems to support scalability, robustness, and efficiency in delivering ML-driven product features
• Support resolution of production issues with ML model-driven production features
• Mentor, coach, and support the professional growth of teammates while fostering a collaborative, inclusive, and trust-based environment
• Collaborate with engineering, data science, product, and leadership teams to identify opportunities and deliver impactful solutions for MyFitnessPal’s users
• Hold others accountable while demonstrating integrity and compassion
• 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

Qualifications to be successful in this role: 

• Have 7+ years of machine learning experience in a production setting, with extensive expertise in recommendation systems, search, NLP, LLMs, and deep learning
• Demonstrated experience building and deploying scalable recommendation systems and search features used by millions of users
• Have a proven track record of building and innovating on centralized machine learning platforms to support multiple production models
• Possess deep knowledge of AI architectures, ML algorithms, and MLOps best practices for production-scale systems
• Strong proficient in programming languages such as Python, R, and SQL
• Exhibit excellent written and verbal communication skills, with the ability to present technical content to non-technical audiences
• Bring strategic thinking and the ability to incorporate larger business context into algorithm and product development
• Have experience as a technical lead driving data science teams to deliver measurable product value