Teaching Strategies, LLC
Principal Machine Learning Engineer (Remote)
Teaching Strategies, LLC, Bethesda, Maryland, us, 20811
Be a Part of our Team!
Join a working family that is dedicated to the mission of the work we do!
Teaching Strategies is an innovative edtech organization focused on connecting teachers, children, and families. As front runners in the early childhood education market, we build dynamic, top-quality digital products that integrate all of the essential elements of a high-quality solution: curriculum, assessment, professional development, and family engagement. We are building a team of results-oriented individuals who will thrive in a collaborative, work-hard/play-hard culture. We pride ourselves on the impact we have on the early childhood field through supporting teachers who are doing the most important work there is, teaching children to become creative, confident thinkers.Position Overview
We are seeking a highly skilled Principal Machine Learning Engineer to join our team and contribute to the company's AI/ML initiatives. Working in close partnership with our AI/ML development team (the VP of Data and AI/ML and the VP of Product Management) you will be responsible for deploying ML and AI solutions by leveraging your expertise in machine learning, Airflow, Spark, Kubernetes and Sagemaker. Your primary focus will be on deploying production quality AI/ML solutions to be consumed by our front-end. This person will be an individual contributor that can navigate between design/architecture and executing the design.Specific Roles & ResponsibilitiesOwn the machine learning operations and deployment for all ML and AI solutionsDevelop frameworks for capturing the feedback loop dataAutomate monitoring of model performance and user behaviorInfluence the tooling, frameworks, and ML practices with the AI/ML teamAid in the data collection for AI/ML development and validationPartner with Product Management on prioritization and requirementOccasional domestic travel required for in-person team, department, and company meetingsQualificationsAWS tools and solutions including Sagemaker, Redshift, AthenaExperience with Machine learning libraries such as PyTorchHands-on experience with designing, developing and deploying workflows with ML models with feedback loops; Uses Bitbucket workflows and has experience with CI/CDDeep experience in at least two of the following languages: PySpark/Spark, Python, CWorking knowledge of AI/ML algorithms. Large language models (LLMs), Retrieval-augmented generation (RAN), Clustering algorithms (such as K-Means), Binary classifiers (such as XGBoost)High level of self-starter, learning, and initiative behaviorsPreferred:Background as a software engineer and experience as a data scientistFeatures StoresWhy Teaching Strategies
At Teaching Strategies, our solutions and services are only as strong as the teams that create them. By bringing passion, dedication, and creativity to your job every day, there's no telling what you can do and where you can go! We provide a competitive compensation and benefits package, flexible work schedules, opportunities to engage with co-workers, access to career advancement and professional development opportunities, and the chance to make a difference in the communities we serve.Let's open the door to your career at Teaching Strategies!Some additional benefits & perks while working with Teaching StrategiesCompetitive compensation package, including Employee Equity Appreciation ProgramHealth insurance benefits401k with employer match100% remote work environmentUnlimited paid time off (which includes paid holidays and Winter Break)Paid parental leaveTuition assistance and Professional development and growth opportunities100% paid life, short and long term disability insurancePre-tax medical and dependent care flexible spending accounts (FSA)Voluntary life and critical illness insuranceTeaching Strategies, LLC is committed to creating a diverse workplace and is proud to be an equal opportunity employer of Minorities, all Genders, Protected Veterans, and Individuals with Disabilities.
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Join a working family that is dedicated to the mission of the work we do!
Teaching Strategies is an innovative edtech organization focused on connecting teachers, children, and families. As front runners in the early childhood education market, we build dynamic, top-quality digital products that integrate all of the essential elements of a high-quality solution: curriculum, assessment, professional development, and family engagement. We are building a team of results-oriented individuals who will thrive in a collaborative, work-hard/play-hard culture. We pride ourselves on the impact we have on the early childhood field through supporting teachers who are doing the most important work there is, teaching children to become creative, confident thinkers.Position Overview
We are seeking a highly skilled Principal Machine Learning Engineer to join our team and contribute to the company's AI/ML initiatives. Working in close partnership with our AI/ML development team (the VP of Data and AI/ML and the VP of Product Management) you will be responsible for deploying ML and AI solutions by leveraging your expertise in machine learning, Airflow, Spark, Kubernetes and Sagemaker. Your primary focus will be on deploying production quality AI/ML solutions to be consumed by our front-end. This person will be an individual contributor that can navigate between design/architecture and executing the design.Specific Roles & ResponsibilitiesOwn the machine learning operations and deployment for all ML and AI solutionsDevelop frameworks for capturing the feedback loop dataAutomate monitoring of model performance and user behaviorInfluence the tooling, frameworks, and ML practices with the AI/ML teamAid in the data collection for AI/ML development and validationPartner with Product Management on prioritization and requirementOccasional domestic travel required for in-person team, department, and company meetingsQualificationsAWS tools and solutions including Sagemaker, Redshift, AthenaExperience with Machine learning libraries such as PyTorchHands-on experience with designing, developing and deploying workflows with ML models with feedback loops; Uses Bitbucket workflows and has experience with CI/CDDeep experience in at least two of the following languages: PySpark/Spark, Python, CWorking knowledge of AI/ML algorithms. Large language models (LLMs), Retrieval-augmented generation (RAN), Clustering algorithms (such as K-Means), Binary classifiers (such as XGBoost)High level of self-starter, learning, and initiative behaviorsPreferred:Background as a software engineer and experience as a data scientistFeatures StoresWhy Teaching Strategies
At Teaching Strategies, our solutions and services are only as strong as the teams that create them. By bringing passion, dedication, and creativity to your job every day, there's no telling what you can do and where you can go! We provide a competitive compensation and benefits package, flexible work schedules, opportunities to engage with co-workers, access to career advancement and professional development opportunities, and the chance to make a difference in the communities we serve.Let's open the door to your career at Teaching Strategies!Some additional benefits & perks while working with Teaching StrategiesCompetitive compensation package, including Employee Equity Appreciation ProgramHealth insurance benefits401k with employer match100% remote work environmentUnlimited paid time off (which includes paid holidays and Winter Break)Paid parental leaveTuition assistance and Professional development and growth opportunities100% paid life, short and long term disability insurancePre-tax medical and dependent care flexible spending accounts (FSA)Voluntary life and critical illness insuranceTeaching Strategies, LLC is committed to creating a diverse workplace and is proud to be an equal opportunity employer of Minorities, all Genders, Protected Veterans, and Individuals with Disabilities.
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