Senior AI/ML Engineer

Edstruments empowers K12 and nonprofit leaders with modern financial software spanning the Procure-to-Pay lifecycle and Budget Planning & Management. Our platform helps partners align their spending and budgets with strategic objectives, enabling them to achieve their mission more effectively.

As a fast-growing startup, we onboard new partners every month, with our platform currently supporting organizations across multiple states in the US. We are looking for individuals excited to play a critical role in building intelligent systems that directly impact our partners’ success.

We are seeking an AI/ML Engineer to design, build, and deploy scalable machine learning systems that enhance our platform’s intelligence and automation capabilities. You will work closely with product, engineering, and data teams to take models from experimentation to production, ensuring reliability, scalability, and impact.

This role is ideal for someone who enjoys solving real-world problems, shipping production-ready ML systems, and working in a high-ownership environment.

• Design, develop, and deploy machine learning models to solve business problems
• Build and maintain end-to-end ML pipelines, from data ingestion to model deployment
• Own the lifecycle of ML models, including training, evaluation, monitoring, and retraining
• Implement and manage MLOps practices for scalable and reliable model deployment
• Collaborate with cross-functional teams to translate business needs into ML solutions
• Optimize model performance, scalability, and inference efficiency
• Ensure data quality, validation, and governance across ML workflows
• Continuously improve deployment pipelines and automate workflows (CI/CD for ML)
• Stay updated with the latest advancements in AI/ML and apply them where relevant

• 1+ years of experience in Machine Learning, Data Science, or a related field

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• Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow, SageMaker, or similar)
• Experience building and deploying end-to-end ML pipelines to production
• Solid understanding of data structures, algorithms, and software engineering principles
• Experience with APIs and integrating ML models into backend systems
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Strong problem-solving skills and ability to work in a fast-paced environment

• Experience with NLP, forecasting, or financial data models
• Familiarity with containerization (Docker) and orchestration (Kubernetes)
• Experience with real-time or batch data processing systems
• Understanding of data engineering concepts (ETL pipelines, data warehousing)
• Exposure to monitoring and observability tools for ML systems
• Startup experience or comfort working in high-ownership environments

• You can independently ship ML models from idea → production
• You build systems that are reliable, scalable, and easy to maintain

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• You proactively identify opportunities to apply AI/ML to improve the product
• You take ownership and drive projects with minimal supervision

• Mission-Driven Work: Work alongside a passionate team focused on improving financial systems for K12 and nonprofit organizations.
• Career Growth: High ownership and strong growth opportunities as the company scales.
• Fast-Paced Environment: Build, iterate, and ship quickly in a dynamic startup setting.
• Remote Flexibility: 100% remote team with flexible start dates.



We are a mission-driven company grounded in the following principles:

• Integrity: Do the right thing, every time
• Impact: Keep mission front and center; strive for meaningful outcomes
• Diversity: Embrace varied perspectives and backgrounds
• Ownership: Act with initiative and accountability
• Growth: Commit to continuous improvement
• Communication: Speak up with clarity and empathy
• Humility: Stay grounded, support others, and celebrate wins together