Senior Machine Learning Engineer

Summary

Join A Place for Mom as a Sr. Machine Learning Engineer to build efficient, data-driven machine learning applications. You will develop and maintain machine learning models and algorithms, working with large datasets and various tools. Collaboration with cross-functional teams is key, requiring strong communication skills. The ideal candidate possesses 5+ years of experience in machine learning engineering, proficiency in SQL, Databricks, AWS, Python, and relevant machine learning frameworks. A Master's degree in a related field or equivalent experience is required. The position offers a competitive salary, bonus, and comprehensive benefits.

Requirements

• 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, Spark and machine learning frameworks such as XGBoost, Scikit, TensorFlow, Keras or PyTorch
• 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
• Master’s degree in Computer Science, Mathematics, or a related field, or equivalent working experience

Responsibilities

• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools
• Design and develop machine learning and Gen AI systems
• Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks
• Construct optimized data pipelines to feed machine learning models
• Run machine learning tests and experiments, and document findings and results
• Implement and monitor model and data quality checks to ensure accuracy and consistency of our models and pipelines in production
• Train, retrain, and monitor machine learning systems and models as needed
• Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to build machine learning applications that align with business objectives and best practices
• Provide support on model and data-related issues and queries from other teams including providing clear and actionable reporting for stakeholders
• Create and maintain comprehensive documentation for machine learning processes, models and pipelines
• Implement and promote best practices for machine learning, including coding standards, maintenance and governance of machine learning models

Benefits

• Base Salary: $125,000 to $135,000
• Bonus - 10% of annual earnings
• 401(k) plus match
• Dental insurance
• Health insurance
• Vision Insurance
• Paid Time Off