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# Software Engineer - Machine Learning & Data

- **Company:** The Playlist LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Code Review, Continuous Integration, Python (Programming Language), Machine Learning, Recommender Systems, SQL Databases, Workflow Management Systems, Snowflake, Machine Learning Operations, Marketplace
- **Published:** November 6, 2026
- **Apply:** https://www.builtincolorado.com/job/sr-software-engineer-machine-learning-data/12103837?handler=ApplyRedirect

## About the Role

* 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)

## Description

Build and maintain data models, ETL pipelines, and production machine learning systems supporting recommendations, personalization, pricing, search, and marketplace optimization. Own features end to end, conduct statistically rigorous experimentation, monitor deployments, write technical designs, and collaborate with engineering, data science, and product teams to deliver measurable business impact., 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