Senior Machine Learning Engineer

Senior Machine Learning Engineer

This job is no longer open

Our dream of revolutionizing the fitness and wellness industry is no small feat, and we're looking for talented people to make it a reality. When you join Mindbody + ClassPass, you’ll work with kind, intelligent people and enjoy unrivaled benefits. You’ll also share in a true culture of purpose and passion centered around helping people live happier, healthier lives. We’re not just another thriving company—we’re far and away the leader of our industry. So join the team, and let’s see what we can accomplish together!

Who we are

At Mindbody + ClassPass, we’re innovating for the future of wellness by bringing together the best of both sides of the market: Mindbody is the industry’s most trusted technology platform, empowering tens of thousands of wellness brands around the world with the software and resources they need to run and grow their businesses. ClassPass is one of the most popular apps for fitness lovers and self-care enthusiasts, partnering with over 30,000 fitness studios, gyms, salons, and spas around the world. We’re on a mission to create a wellness community for all—opening the doors to more authentic, local wellness experiences than ever before.

About the right team member

You love to design robust and easy to use APIs and services. You know the best software is created through collaboration and iteration and you’re looking for the right opportunity, and the right team, to expand your experience. You seek feedback because it has the ability to turn good work into great work. You like to ship software early and often, you value simplicity and strive to eliminate unnecessary complexity.

At ClassPass we value people who are intellectually curious, who are pragmatic not dogmatic, and people who care about our product, their teammates, and their own personal growth. We are faced with an interesting set of technical challenges, and we believe in giving our engineers the autonomy to go and solve them. Much of our team come from non-traditional computing backgrounds; we know that by bringing together a diverse set of voices we’ll be able to build a better product, and a better company. We care less about what languages or frameworks you know, and care more that you are excited to produce high-quality code and be constantly learning. Our engineers work in cross-functional teams that are focused on impact, and movement between teams is encouraged. We work very closely with our brilliant product team to deliver a world class user experience, and ultimately to empower our users to live their fullest, healthiest lives.

About the role

  • Apply MLOps concepts and your best engineering principles and skills to improve performance, maintainability and reliability of our production level ML Systems.
  • Contribute to complex data flows while working with ML engineers to support building ML models at scale.
  • Achieve a deep understanding of the data by performing exploratory data analysis to determine what data is available and how to develop it into model features.
  • Learn what is critical for running a successful business by working with product managers to understand and clarify a business goal so we can measure it. Determine actions which would support the business goal.
  • Review existing systems, understand their current technical characteristics, and modify them as necessary to support their operations as the data scientists run experiments and iterate on them.
  • Exercise your abstract thinking skills as you automate testing and monitoring of the systems, because there are no easy yes/no answers with data systems. 

Skills & experience

  • Knowledge of Python and Java/Kotlin. 
  • Working knowledge of machine learning concepts and tools. 
  • Good SQL and data exploration skills.
  • Familiarity with AWS systems from S3 and SQS to Athena and SageMaker.
  • Familiarity with production monitoring platforms like DataDog and NewRelic.
  • Understand software engineering and data processing best practices.
  • Desire to help people stay motivated and keep fit. 

Pay Transparency

It is Mindbody’s intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Mindbody’s compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.

The base salary range for this position in the United States is $140,300 to $210,500. The total compensation package for this position may also include performance bonus, benefits and/or other applicable incentive compensation plans.

Have we piqued your curiosity?

Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.

Mindbody is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.

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