Machine Learning

About you:

We're seeking individuals who embody the following qualities:

Passion for Impact: We're not just another tech company – we're driven by a deep commitment to making a meaningful difference in the lives of students. If you're passionate about creating positive change and empowering the next generation, you're in the right place.
Comfort in Ambiguity: In a dynamic start-up environment, change is constant, and the path forward isn't always clear-cut. We're looking for team members who thrive in uncertainty, can craft a strategy on the fly, and execute with confidence and autonomy.
Sense of Urgency: Time is of the essence in a start-up. If you're someone who enjoys the thrill of moving fast and building with purpose, you'll find our culture both exhilarating and rewarding.
Aspiration for Growth: While you may have experience at larger organizations, you're ready for a new challenge that offers more responsibility and an opportunity to shape the future. We're here to provide that platform for your professional growth.
Responsibilities:

Design innovative solutions for machine learning infrastructure that will support the current and future needs of the company’s products
Build robust systems and validation tools to ensure machine learning models continue to perform as code and data change
Apply best-practice system software and machine learning knowledge to build scalable, reliable, and easy-to-use machine learning workflows
Ensure machine learning models can run across multiple platforms on customer machines
Build infrastructure to perform scalable training, evaluation, inference, debugging, monitoring of the ML/NLP models in the cloud
Help speed up research and productionization of ML/NLP models and projects
Minimum Qualifications:

Bachelor's degree or higher degree in computer science or related fields (software engineering or equivalent)
2+ years experience as a ML Engineer, Data Engineer or Data Scientist with strong engineering skills and a passion for working on turning reference implementations into production-ready software
Experience in building, training, deploying and managing large-scale infrastructure for ML workflows, preferably using platforms such as Databricks and MLflow
Programming experience with Python and Spark including object-oriented design
Experience writing and maintaining high-quality production code and using source code control/revision tools (i.e. Git)
Working knowledge of complete machine learning lifecycle
Experience in deployment and management of cloud native infrastructure and services with an emphasis on performance and cost optimization (such as AWS, Microsoft Azure, Google Cloud etc )
Preferred Qualifications:

Strong interest in working in the education technology industry in an impact driven role
Our data science and machine learning solutions are heavily driven from text data, so either prior experience or interest in learning NLP would be amazing
Experience working with Databricks