Staff Machine Learning Engineer

MyFitnessPal Logo

MyFitnessPal

💵 $170k-$215k
📍Remote - United States

Summary

Join MyFitnessPal's Data Science team as a Staff Machine Learning Engineer and lead the technical implementation of cutting-edge AI products. You will design, build, and maintain a new machine learning platform, mentor a team of engineers and data scientists, and collaborate with cross-functional teams. This individual contributor role requires 7+ years of machine learning experience in a production setting, expertise in recommendation systems and search, and a Master's degree or Ph.D. in a related field. MyFitnessPal offers a competitive salary, comprehensive benefits, and a flexible work environment. The company values innovation, collaboration, and a diverse and inclusive workplace. You will be responsible for building and scaling recommendation systems and search features, developing AI features to enhance user engagement, and ensuring best practices for code development and data quality.

Requirements

  • 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
  • Can quickly assess complex problems and facilitate group discussions to identify solutions and actionable milestones
  • Hold a Master’s degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field (or equivalent extensive real-world experience)

Responsibilities

  • 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

Benefits

  • Healthcare
  • Parental planning
  • Mental health benefits
  • Annual performance bonus
  • A 401(k) plan and match
  • Responsible time off
  • Monthly wellness and technology allowances
  • Face-to-Face Connections
  • Flexibility At Its Best
  • Give Back
  • Mentorship Program
  • Family-Friendly Support
  • Wellness Comes First
  • Celebrate Greatness
  • Elevate Your Health & Fitness
  • Unlock Your Potential
  • Championing Inclusion
  • Healthcare Matters
  • Secure Your Future

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