Sr. Machine Learning Engineer — ML/AI Team

Company: A Place for Mom

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-04-25

About this role

Who You Are
A Place for Mom is seeking a Senior Machine Learning Engineer to design, build, and scale production-grade machine learning and Generative AI systems. This role will focus on developing advanced ML and LLM-powered applications that leverage structured and unstructured data to drive business impact.


The ideal candidate combines strong foundations in traditional machine learning with hands-on experience building and deploying Large Language Model (LLM) solutions and prompt-engineered systems in production environments.


What You Will Do

  • Machine Learning Model Development and Maintenance:
  • Study and transform data science prototypes using appropriate ML and GenAI architectures.
  • Design and develop machine learning and LLM-powered systems using modern GenAI architectures (e.g., RAG, prompt engineering, embeddings, vector databases).
  • Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
  • Construct optimized data pipelines to feed both traditional ML models and LLM-based systems.
  • Run machine learning tests and experiments and document findings and results.
  • Model Maintenance and Monitoring:
  • Implement and monitor model and data quality checks to ensure accuracy and consistency of our models and pipelines in production.
  • Ensure system reliability, performance optimization, and responsible deployment of ML and LLM solutions in production.
  • Manage the full model lifecycle, including retraining, performance monitoring, and continuous improvement.
  • Collaboration and Support:
  • Partner with Product, Engineering and Business stakeholders to translate requirements into scalable AI/ML and GenAI solutions, contributing to system architecture and technical design.
  • Provide technical guidance and support on AI/ML initiatives, delivering clear, actionable insights to stakeholders.
  • Contribute to AI engineering standards and best practices across the organization.
  • Best ...

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