A Place for Mom is looking for a Staff Machine Learning Engineer to help build practical, data-driven machine learning applications focused in the Engineering space. In this role, you will develop and deploy scalable ML models that solve business problems within our core product areas.
Requirements
- Expertise in SQL, Databricks, AWS services, Python, Spark and machine learning frameworks such as XGBoost, Scikit, TensorFlow, Keras or PyTorch.
- Experienced in developing, deploying, and serving scalable LLM applications in production environments.
- Deep understanding of real-time inference systems, streaming data pipelines, model serving services, feature store monitoring and latency optimization for ML & LLM applications
- Experience in identifying the business value of your work and communicating that value in non-technical terms when needed.
- Comfortable digging into large datasets, using your background in statistics and programming to find patterns and build models that are ready for production while also improving existing algorithms to make them faster, more accurate, and more reliable.
- Experience: 8+ years of experience in machine learning, with at least 2 years in a senior or staff-level ML engineering role, with a proven track record of delivering ML models to production with measurable impact.
- Excellent analytical and problem-solving skills with a strong ability to derive insights from complex data sets.
Responsibilities
- Own and drive initiatives from idea to production, managing cross-functional stakeholders.
- Drive architecture decisions and influence long-term strategy
- Provide ML-specific technical guidance and mentorship to the Engineering Org
- Own the full ML lifecycle: from data exploration to model development, deployment, and continuous optimization.
- Deep understanding of real-time inference systems, streaming data pipelines, model serving services, feature store monitoring and latency optimization for ML & LLM applications
- Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
- Implement and monitor model and data quality checks to ensure accuracy and consistency of our models and pipelines in production.
Other
- The ideal candidate is self-motivated, goal-oriented, and capable of taking ownership of entire projects.
- You proactively identify and recommend areas where your work can make the biggest impact and work across various teams to make that work come to life.
- Excellent communication skills with the ability to convey technical information and business impact to non-technical stakeholders.
- Master’s degree in Computer Science, Mathematics, or a related field, or equivalent working experience.
- All your information will be kept confidential according to EEO guidelines.
