Sr. Machine Learning Engineer — ML​/AI Team

Who you are:

A Place for Mom is seeking a Senior Machine Learning Engineer to design, build, and scale production-grade machine learning and GenAI 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 Practices and Documentation:

  • Create and maintain comprehensive documentation for ML and GenAI systems, including prompt libraries, evaluation frameworks, and architectural decisions.

  • Establish and promote best practices across MLOps, LLMOps and AI system governance.

• Master’s degree in Computer Science, Mathematics, or a related field, or equivalent working experience.
  5+ years of proven experience as a Machine Learning Engineer, with significant experience working with data from structured and unstructured data sources, ETL processes, and data quality management.

• Strong proficiency in SQL, Databricks, AWS services, Python, and Spark.

• Experience with ML frameworks such as XGBoost, Scikit-learn, Tensor Flow, Keras, or PyTorch.

• Hands-on experience building and deploying LLM-powered applications, including prompt engineering, evaluation frameworks, Retrieval-Augmented Generation (RAG), embedding models/vector databases.

• Familiarity with MLOps and/or LLMOps tooling and CI/CD workflows.

• Excellent analytical and problem-solving skills with a strong ability to derive insights from complex data sets.

• Effective communication skills with the ability to convey technical information and business impact to non-technical stakeholders.

Compensation:

• Base Salary: $120,000 to $135,000 + 10% Bonus

• Benefits:

  • 401(k) plus match

  • Dental insurance

  • Health insurance

  • Vision Insurance

  • Paid Time Off

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About A Place for Mom

A Place for Mom is the leading platform guiding families through every stage of the aging journey. Together, we simplify the senior care search with free, personalized support — connecting caregivers and their loved ones to vetted providers from our network of 15,000+ senior living communities and home care agencies.

Since 2000, our teams have helped millions of families find care that fits their needs. Behind every referral and resource is a shared goal: to help families focus on what matters most — their love for each other.

We’re proud to be a mission-driven company where every role contributes to improving lives. Caring isn’t just a core value — it’s who we are. Whether you’re supporting families directly or driving innovation behind the scenes, your work at A Place for Mom…