Senior Machine Learning Engineer
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Job Description
Senior Machine Learning Engineer responsible for the full ML lifecycle at Button. Collaborating with data teams to build systems that integrate machine learning into commerce and monetization products.
Responsibilities:
- Own the full ML lifecycle including feature pipelines, training workflows, model deployment, inference services, monitoring, and retraining
- Design and build reliable data and feature pipelines
- Build and optimize machine learning models including regression, classification, ranking, and recommender systems
- Implement and manage batch scoring pipelines and online inference services
- Partner with data scientists to operationalize models
- Collaborate with software engineers for integration into production services
- Establish observability for ML systems
- Design systems for rapid experimentation and safe rollout of new models
- Document architecture, establish best practices, and mentor teammates
Requirements:
- 5+ years of professional experience in machine learning engineering, software engineering, data engineering, or similar roles
- Fluency with Python and SQL
- Proven experience designing, building, and operating data pipelines at scale
- Hands-on experience deploying and maintaining machine learning models in production environments
- Experience working in cloud environments, especially AWS
- Familiarity with orchestration and data modeling tools such as Airflow, dbt, or similar systems
- Experience building ranking, recommendation, or decisioning systems is a plus.
Benefits:
- 401(k) plan with 3% annual contribution
- Unlimited time off including birthdays
- Mental Health Weeks for company-wide breaks
- Employee assistance program
- 100% premium coverage for health, vision, and dental insurance
- 75% premium coverage for dependents
- Complimentary One Medical memberships
- Monthly stipend for mobile phone/internet
- Annual lifestyle stipend
- Access to WeWork memberships and coworking events
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