Sr Software Engineer - Machine Learning & Data

Who we are
We're a passionate engineering, platform, and operations team, developing and supporting ground-breaking products. Together, we'll build for the future, creating more opportunities for wellness businesses around the world to help their customers lead full, healthy lives. We push ourselves and our company to always strive for this higher purpose, recognizing the power in working together toward the same goal. We believe in building a diverse company where everyone feels safe bringing their authentic selves to work. And we believe that the secret to success is our people. Join the team, and let's see what we can accomplish together!

About the team
The ClassPass ML & Data team builds the models and data systems that power core parts of the member and partner experience, including pricing, personalization, search, and inventory. We work closely with data scientists, product managers, and engineering teams across the company, and we value engineers who bring their own ideas and see them through to measurable impact. We're growing the team and looking for an engineer who loves turning data into real business results.

You'll likely spend time working on

• Owning features end to end: discovery, analysis, defining success metrics, building, launching, and measuring impact
• Designing, building, and modernizing data models and ETL pipelines in dbt and Snowflake
• Building, deploying, and monitoring ML models in production for problems like recommendations, personalization, pricing, and marketplace density
• Testing hypotheses quickly, with data and statistical rigor
• Writing technical design documents (TDDs) and partnering with engineers, data scientists, and product managers to shape solutions
• Applying backend engineering best practices: testing, CI/CD, code reviews, and reliable deployments
• Leading cross-functional projects and sharing knowledge across teams

You'll thrive in this role with experience in

• 5+ years in software, data, or ML engineering (or similar), including shipping and maintaining ML models in production
• Strong hands-on experience with dbt and Snowflake (or comparable modern data-warehouse tooling at scale)
• Proficiency in SQL and Python
• Solid grounding in statistics and experimentation: choosing the right model and understanding the tradeoffs
• Backend engineering fundamentals: CI/CD, testing, deployment, and observability
• A track record of connecting technical work to business outcomes, and the ability to explain it clearly in writing and in conversation
• Comfort with ambiguity, a bias for action, and a collaborative, feedback-friendly approach

Nice to have

• Recommender systems, search and ranking, or pricing and optimization experience
• Marketplace or location-aware modeling
• Workflow orchestration and ML tooling (e.g., Airflow, SageMaker, MLflow)

It is Playlist’s intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Playlist’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 $150,000 to $200,000. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans.