Our Firm

Careers

VIEW ALL APPLY NOW

Machine Learning Research Engineer II

Experienced

MINDBODY | Product Development

JOB FAMILY SUMMARY:

MINDBODY’s Machine Learning & Artificial Intelligence is poised to lead personalized, automated and delightful technology entablements for the Enterprise Fitness, Wellness & Beauty industries with its unique suite of products enhanced by Machine Learning and AI. Our goal is to enable completely data-driven, automated enhancements in MindBody products using ML, AI and Deep Learning to enrich our customers' existing apps and workloads for a more efficient and productive Fitness, Wellness & Beauty provider ecosystem, as well as bring newer AI/ML products and platforms to them.  We are looking for a Research Engineer to contribute, help define and contribute to the R&D layer of our Machine Learning & Artificial Intelligence (ML & AI) products enabling data driven decision making via advanced Machine Learning, Micro-services Apps and AI, backed by thousands of customers and multiple millions of consumers data. 

JOB SUMMARY:

As a Research ML & AI Engineer, you will provide strong, creative leadership of the R&D needed for the products, and recommend methodologies, data engineering practices, algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence (Machine Learning) core engines focused on MindBody Payer/Provider datasets. As a Machine Learning Researcher, you will research the existing methodologies and publications related to the application, algorithms, data schemas, feature engineering and then develop PoC which implement, and evaluate statistical machine learning algorithms to uncover hidden information and patterns from a diverse collection of massive datasets, including MINDBODY's large historic data assets, social media, structured and unstructured text, image collections, marketplace data, time series, and imagery data. You will bring your expertise to a diverse team of dedicated and creative ML & AI engineers to build state-of-the-art ML & AI platforms and technologies for the Wellness, Fitness, Beauty and Integrated Health segments where MindBody is leading disruptive innovation. If you enjoy R&D projects with Enterprise application as the end goal an d want to lead such innovation via new features, products, patents and publications, then this role is for you!

MINIMUM QUALIFICATIONS AND REQUIREMENTS:

  • 2-4 years of experience in of industry experience in Machine Learning & Artificial Intelligence/Machine Learning/Deep Learning
  • Ph. D. graduates looking for Post-doctoral experience are especially encouraged to apply
  • M. S. or Ph. D. Degree in Computer Science, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
  • M. S. and job-related experience, OR Doctorate Degree and job-related experience,
  • PhD in computer science, math or a related field (Physics, natural sciences, mathematics)
  • Experience Machine Learning & Artificial Intelligence notebooks (Jupyter, Zeppelin or other)
  • Familiarity with ML algorithms for the problems, like Regression, Classification, Clustering, Dimensionality reduction, Structured output and Anomaly detection, etc.Passion for proactive health and wellness, beauty and fitness missions
  • Experience with forecasting, Bayesian networks, and graph analytics
  • Strong statistics training and experience
  • Ability to understand recent ML research papers and adapt those models to solve real world problemsExperience with software development methodologies and software engineering principles
  • Competency in knowing the most effective and efficient processes to get things done, with a focus on continuous improvement
  • Solid understanding on various software development tools, software process and environments: IDE, debugger, source control, bug tracking, etc.Knowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job level
  • Ability to develop reports, models, and simulations as needed to perform at the job level
  • Competency in developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences

     

    PRINCIPAL DUTIES AND RESPONSIBILITIES:

  • Research and develop machine learning systems that help train and/or deploy models
  • Works under general supervision to identify and analyze problems
  • Quickly prototype new ideas/technologies to create proof of concept and demos
  • Weighs relevance and accuracy of information
  • Upholds the company values and culture
  • Research and develop new ML algorithms to aid in speech processing and recommendation systems
  • Effectively communicate with global engineering teams
  • Learns to use professional, fundamental concepts, practices and procedures of the artificial intelligence and machine learning discipline
  • Learns and applies company policies and procedures to resolve routine issues
  • Uses data to support own point of view when interacting with the team
  • Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
  • Provides information, analysis and recommendations in support of the machine learning team.
  • Takes actions that are consistent with goals and objectives
  • Translates business analysis needs into well-defined machine learning problems, and selecting appropriate models and algorithms
  • Communicates model evaluation, process, assumptions, and implications of results back to a variety of stakeholders
  • Recognizes and prioritizes the most important work related to machine learning models to achieve highest operational impact for analytics in the business
  • Balances tradeoffs among analytics value, model development methods and design and technologies used to implement machine learning models with a bias toward action
  • Creates shared process models to effectively articulate multiple views of the business solutions that support technical architecture for Big Data platform implementation of stabilized Machine Learning core
  • Collaborates with leaders, customers and business partners to work on projects
  • All other duties as assigned
Skills & Requirements

MINIMUM QUALIFICATIONS AND REQUIREMENTS:

  • 2-4 years of experience in of industry experience in Machine Learning & Artificial Intelligence/Machine Learning/Deep Learning
  • Ph. D. graduates looking for Post-doctoral experience are especially encouraged to apply
  • M. S. or Ph. D. Degree in Computer Science, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
  • M. S. and job-related experience, OR Doctorate Degree and job-related experience,
  • PhD in computer science, math or a related field (Physics, natural sciences, mathematics)
  • Experience Machine Learning & Artificial Intelligence notebooks (Jupyter, Zeppelin or other)
  • Familiarity with ML algorithms for the problems, like Regression, Classification, Clustering, Dimensionality reduction, Structured output and Anomaly detection, etc.Passion for proactive health and wellness, beauty and fitness missions
  • Experience with forecasting, Bayesian networks, and graph analytics
  • Strong statistics training and experience
  • Ability to understand recent ML research papers and adapt those models to solve real world problemsExperience with software development methodologies and software engineering principles
  • Competency in knowing the most effective and efficient processes to get things done, with a focus on continuous improvement
  • Solid understanding on various software development tools, software process and environments: IDE, debugger, source control, bug tracking, etc.Knowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job level
  • Ability to develop reports, models, and simulations as needed to perform at the job level
  • Competency in developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences

     

    PRINCIPAL DUTIES AND RESPONSIBILITIES:

  • Research and develop machine learning systems that help train and/or deploy models
  • Works under general supervision to identify and analyze problems
  • Quickly prototype new ideas/technologies to create proof of concept and demos
  • Weighs relevance and accuracy of information
  • Upholds the company values and culture
  • Research and develop new ML algorithms to aid in speech processing and recommendation systems
  • Effectively communicate with global engineering teams
  • Learns to use professional, fundamental concepts, practices and procedures of the artificial intelligence and machine learning discipline
  • Learns and applies company policies and procedures to resolve routine issues
  • Uses data to support own point of view when interacting with the team
  • Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
  • Provides information, analysis and recommendations in support of the machine learning team.
  • Takes actions that are consistent with goals and objectives
  • Translates business analysis needs into well-defined machine learning problems, and selecting appropriate models and algorithms
  • Communicates model evaluation, process, assumptions, and implications of results back to a variety of stakeholders
  • Recognizes and prioritizes the most important work related to machine learning models to achieve highest operational impact for analytics in the business
  • Balances tradeoffs among analytics value, model development methods and design and technologies used to implement machine learning models with a bias toward action
  • Creates shared process models to effectively articulate multiple views of the business solutions that support technical architecture for Big Data platform implementation of stabilized Machine Learning core
  • Collaborates with leaders, customers and business partners to work on projects
  • All other duties as assigned