Machine Learning Engineer

About Kiddom

Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school / district programming, and professional learning.

You will work closely with other departments, including Product, Engineering, Machine Learning and Analytics, to understand and cater to their data and ML needs. You will also define and document data workflows, data and ML pipelines, and transformation processes for clear understanding and knowledge sharing.

We are looking for someone with excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Do you have a strong understanding of PII compliance and best practices in data handling and storage? If you also exhibit strong problem-solving skills, with a knack for optimizing performance and ensuring data integrity and accuracy, we want to chat!

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You Will..

• Design, build, and maintain scalable data pipelines to transform raw data into analytics-ready datasets.
• Ensure optimal performance, reliability, and efficiency of the data pipelines.
• Integrate machine learning models into data pipelines to enhance analytics capabilities.
• Collaborate with data scientists to deploy and monitor ML models in production.
• Ensure the scalability and reliability of ML workflows and infrastructure.
• Develop and optimize ML models for predictive analytics and data-driven decision-making.
• Monitor the data infrastructure for performance bottlenecks and implement optimizations as necessary.
• Collaborate with other engineering teams to ensure seamless data integration with high availability.

What we look for...

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$150,000 - $200,000 a year

Potential Salary range : $150,000 - $200,000+

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Salary range is dependent on geography, past experience, seniority, and demonstrated role related ability during the interview process.

What we offer

Full time permanent employees are eligible for the following benefits :

COVID Vaccination Policy

Kiddom policy requires employees to be vaccinated before they visit an office or attend company events..

We have remote roles but in certain positions where office attendance is deemed to be essential to the role, offers of employment shall be conditional upon proof of vaccination.