Machine Learning Engineer

$125,000 - $135,000/Yr

A Place For Mom - New York, NY

Full-time - Mid Level

New York, NY

Professional, Scientific, and Technical Services

About the position

A Place for Mom is seeking a Machine Learning Engineer to develop and maintain data-driven machine learning applications. This role involves building efficient models, optimizing algorithms, and collaborating with cross-functional teams to align machine learning solutions with business objectives. The ideal candidate will have a strong background in statistics, programming, and data analysis, with a commitment to best practices in machine learning.

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.

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.

Benefits

• 401(k) plus match
• Dental insurance
• Health insurance
• Vision Insurance
• Paid Time Off