Job Description

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 & Responsibilities Own the machine learning operations and deployment for all ML and AI solutions Develop frameworks for capturing the feedback loop data Automate monitoring of model performance and user behavior Influence the tooling, frameworks, and ML practices with the AI/ML team Aid in the data collection for AI/ML development and validation Partner with Product Management on prioritization and requirement Occasional domestic travel required for in-person team, department, and company meetings Qualifications AWS tools and solutions including Sagemaker, Redshift, Athena Experience with Machine learning libraries such as PyTorch Hands-on experience with designing, developing and deploying workflows with ML models with feedback loops; Uses Bitbucket workflows and has experience with CI/CD Deep experience in at least two of the following languages: PySpark/Spark, Python, C Working 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 behaviors Preferred: Background as a software engineer and experience as a data scientist Features Stores Why 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 Strategies Competitive compensation package, including Employee Equity Appreciation Program Health insurance benefits 401k with employer match 100% remote work environment Unlimited paid time off (which includes paid holidays and Winter Break) Paid parental leave Tuition assistance and Professional development and growth opportunities 100% paid life, short and long term disability insurance Pre-tax medical and dependent care flexible spending accounts (FSA) Voluntary life and critical illness insurance Teaching 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. #J-18808-Ljbffr Teaching Strategies, LLC

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Holiday work, Temporary work, Flexible hours,

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