Machine Learning Engineer

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $150k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Education Resource Strategies

WebsiteLinkedInAll Job Openings

51 - 200 employees

Education Resource Strategies is a non-profit organization that works closely with leaders of urban public school systems to rethink the use of district and school-level resources. For over a decade, ERS has been working with leaders of urban school districts, promoting the strategic management of resources to support improvement in system and school level performance. ERS consultants come together with a broad range of work experiences, applying financial, organizational, educational, and analytic expertise to their work in school systems.With each school system relationship, ERS builds upon previous work, adding comparative data and refining analyses and findings to share with our clients and the larger educational community. ERS’s unique strength is in our action research. Our working partnerships with school systems bridge research and practice, as we support our clients with diagnostic analyses tailored to their district, web-based tools, research and training, and together outline strategies that are actionable and transformational both within and beyond the districts in which we work.To learn more, subscribe to our monthly newsletter: https://www.erstrategies.org/signup.

📋 Description

• Lead ML model creation, support foundational standardization • Create machine learning model architecture, parameters, and related technical specifications to accurately classify education finance data to a common reporting structure. • Guide staff in the sourcing, preparation of training data for machine learning models that map local accounting codes to standardized national categories. • Develop and implement model features derived from raw financial records, metadata, and related datasets. • Lead model iteration, evaluation, and improvement process with technical team members in support. • Provide analytical support in translation process. • Support processes and statistical rules for transforming current federal data into a nationally comparable, complete, and actionable dataset by identifying opportunities for efficiency and accuracy improvements. • Address reporting discrepancies—such as varying state treatments of teacher pensions and debt—to create a standardized foundational dataset.

🎯 Requirements

• Bachelor’s degree in Data Science, Computer Science, or a related field. • Experience implementing and improving natural language processing (NLP) classification models. • Experience leading machine learning workflows, including classification, feature engineering, and model evaluation. • Strong working knowledge of Python, SQL, Google Cloud Platform, and collaborative coding practices. • Experience translating analytical models and findings into clear, objective insights. • Experience working with complex and inconsistently structured datasets. • Ability to communicate analytical findings and machine learning model design clearly to both technical and non-technical audiences. • Proficiency with statistical techniques (e.g., regressions, t-tests, confidence intervals).

🏖️ Benefits

• Health insurance • Flexible work hours • Paid time off • Professional development opportunities