Sr Software Engineer - Machine Learning & Data
ClassPass · United States
About this role
**Sr Software Engineer - Machine Learning & Data** At Playlist, we’re building the definitive platform for intentional living—connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, we help businesses and individuals turn aspirations into action. --- ## 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. You’ll work closely with data scientists, product managers, and engineering teams, and you’ll help turn data into measurable business impact. --- ## 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 recommendations, personalization, pricing, and marketplace density - Testing hypotheses quickly with data and statistical rigor - Writing technical design documents (TDDs) and partnering across engineering, data science, and product - 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** (model selection and tradeoffs) - Backend engineering fundamentals: **CI/CD, testing, deployment, and observability** - A track record connecting technical work to **business outcomes** (and explaining it clearly) - Comfort with ambiguity, a bias for action, and a collaborative, feedback-friendly approach --- ## Nice to have - Recommender systems, search/ranking, or pricing and optimization experience - Marketplace or location-aware modeling - Workflow orchestration and ML tooling (e.g., Airflow, SageMaker, MLflow) --- ## Compensation (US) Playlist intends to pay competitive wages and salaries. The **base salary range** for this position in the United States is **$150,000 to $200,000**. Total compensation may also include a performance bonus, benefits, and/or other incentive compensation. --- ## 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 fit. We’re looking for the right person, not a perfect checklist. The Company is an **Equal Opportunity Employer** and values diversity. We do not discriminate based on protected characteristics.
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