Sr Software Engineer - Machine Learning & Data

ClassPass

1d • $150,000 - $200,000

About The Position

Playlist is hiring a Senior Software Engineer for its ClassPass ML & Data team. The team builds machine-learning models and data systems that support member and partner experiences, including pricing, personalization, search, and inventory. The role works closely with data scientists, product managers, and engineering teams to turn data into measurable business results.

The engineer will own features end to end, from discovery and analysis through defining success metrics, implementation, launch, and impact measurement. The work includes designing and modernizing data models and ETL pipelines with dbt and Snowflake; building, deploying, and monitoring production ML models; testing hypotheses with data and statistical rigor; and applying backend engineering practices such as testing, CI/CD, code review, and reliable deployments. The role also involves writing technical design documents, leading cross-functional projects, and sharing knowledge across teams.

The position seeks someone with at least five years of software, data, or ML engineering experience, including experience shipping and maintaining production ML models. The listed U.S. base salary range is $150,000 to $200,000. Total compensation may also include a performance bonus, benefits, and/or other applicable incentive compensation plans.

Requirements

• At least 5 years of experience in software, data, or ML engineering, or a similar field, 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, including choosing appropriate models and understanding tradeoffs.
• Backend engineering fundamentals, including CI/CD, testing, deployment, and observability.
• A track record of connecting technical work to business outcomes and explaining it clearly in writing and conversation.
• Comfort with ambiguity, a bias for action, and a collaborative, feedback-friendly approach.

Nice To Haves

• Experience with recommender systems, search and ranking, or pricing and optimization.
• Experience with marketplace or location-aware modeling.
• Experience with workflow orchestration and ML tooling such as Airflow, SageMaker, or MLflow.

Responsibilities

• Own features end to end, including discovery, analysis, defining success metrics, building, launching, and measuring impact.
• Design, build, and modernize data models and ETL pipelines in dbt and Snowflake.
• Build, deploy, and monitor production ML models for problems such as recommendations, personalization, pricing, and marketplace density.
• Test hypotheses quickly using data and statistical rigor.
• Write technical design documents and partner with engineers, data scientists, and product managers to shape solutions.
• Apply backend engineering best practices, including testing, CI/CD, code reviews, and reliable deployments.
• Lead cross-functional projects and share knowledge across teams.

Benefits

• The total compensation package may include benefits.
• The total compensation package may include a performance bonus and/or other applicable incentive compensation plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed