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 ...