Sr. Machine Learning Engineer — ML/AI Team
A Place for Mom · United States
- Hybrid
- Full-time
- $135,000 / year
- United States
Job highlights
- Design and build ML and Generative AI systems.
- Develop LLM-powered applications with RAG.
- Optimize data pipelines for ML and LLMs.
- Monitor and maintain ML models in production.
- Collaborate with stakeholders on AI solutions.
About the role
Senior Machine Learning Engineer — ML/AI Team
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 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 and LLMOps and AI system governance.
Qualifications
Required Skills & Competencies:
- 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, TensorFlow, 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
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 makes a real difference.
Our Employees Live The Company Values Every Day
- Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.
- Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow.
- Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team.
- Win The Right Way: We see organizational integrity as the foundation for how we operate.
- Embrace Change: We innovate and constantly evolve.
Additional Information
A Place for Mom has recently become aware of the fraudulent use of our name on job postings and via recruiting emails that are illegitimate and not in any way associated with us. APFM will never ask you to provide sensitive personal information as part of the recruiting process, such as your social security number; send you any unsolicited job offers or employment contracts; require any fees, payments, or access to financial accounts; and/or extend an offer without conducting an interview.
If you suspect you are being scammed or have been scammed online, you may report the crime to the Federal Bureau of Investigation and obtain more information regarding online scams at the Federal Trade Commission.
All your information will be kept confidential according to EEO guidelines.
A Place for Mom uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.
Key skills/competency
- Machine Learning
- Generative AI
- Large Language Models (LLM)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- MLOps
- LLMOps
- Python
- AWS
- Data Pipelines
Skills & topics
- Machine Learning Engineer
- Machine Learning
- Generative AI
- LLM
- RAG
- Prompt Engineering
- Python
- AWS
- Databricks
- Data Pipelines
- MLOps
- LLMOps
- Spark
How to get hired
- Tailor your resume: Highlight your experience with ML, GenAI, LLMs, RAG, and MLOps, using keywords from the job description.
- Showcase your projects: Quantify your achievements in building and deploying ML/LLM systems, especially those using Python, AWS, and Databricks.
- Prepare for technical interviews: Be ready to discuss ML concepts, data pipelines, and LLM architectures like RAG.
- Understand A Place for Mom: Research their mission and values to articulate how your skills align with their goals.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific Generative AI architectures are important for the Senior Machine Learning Engineer role at A Place for Mom?
- The Senior Machine Learning Engineer role at A Place for Mom emphasizes experience with modern GenAI architectures such as Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, and vector databases.
- What programming languages and tools are essential for the Senior Machine Learning Engineer position at A Place for Mom?
- Proficiency in Python and SQL is required, along with experience in Databricks, AWS services, and Spark. Familiarity with ML frameworks like XGBoost, Scikit-learn, TensorFlow, Keras, or PyTorch is also crucial.
- How does A Place for Mom ensure model and data quality for their ML/AI systems?
- A Place for Mom implements and monitors model and data quality checks to ensure accuracy and consistency. They focus on system reliability, performance optimization, and responsible deployment of ML and LLM solutions.
- What is the expected experience level for a Senior Machine Learning Engineer at A Place for Mom?
- The role requires at least 5 years of proven experience as a Machine Learning Engineer, with significant experience in handling structured and unstructured data, ETL processes, and data quality management.
- Does A Place for Mom require a specific degree for the Senior Machine Learning Engineer role?
- A Master’s degree in Computer Science, Mathematics, or a related field is preferred, but equivalent working experience will also be considered.
- What is the compensation for the Senior Machine Learning Engineer position at A Place for Mom?
- The base salary for this role ranges from $120,000 to $135,000 annually, with an additional 10% bonus potential. Benefits include 401(k) match, dental, health, vision insurance, and paid time off.
- How does A Place for Mom handle the full model lifecycle for their ML/LLM solutions?
- The role involves managing the complete model lifecycle, including retraining, ongoing performance monitoring, and implementing continuous improvements to ensure optimal system performance and accuracy.
- What collaboration is expected from the Senior Machine Learning Engineer at A Place for Mom?
- You will partner with Product, Engineering, and Business stakeholders to translate requirements into scalable AI/ML and GenAI solutions, contributing to system architecture and technical design, and providing technical guidance.