Founding Machine Learning Engineer

At Superintelligent, our mission is to revolutionize AI education, and as an ML Engineer, you'll be at the forefront of shaping the future of this rapidly evolving field. You'll play a pivotal role in developing cutting-edge machine learning models and algorithms that power our innovative educational platform.

Our focus is on leveraging AI to create personalized learning experiences tailored to each student's unique needs and preferences. Whether it's designing recommendation systems to suggest the most relevant courses and resources or implementing natural language processing techniques to enhance interactive learning environments, you'll have the opportunity to apply state-of-the-art ML techniques to drive meaningful impact.

Joining our tight-knit team, you'll collaborate with like-minded individuals who are passionate about harnessing the power of AI to empower learners worldwide. You'll have the autonomy to explore new ideas, experiment with emerging technologies, and contribute to shaping our engineering culture.

Together, we're redefining the future of education by harnessing the potential of AI, and as an ML Engineer at Superintelligent, you'll be at the forefront of this exciting journey, making a tangible difference in the lives of learners everywhere.

• Conduct in-depth analysis of data sets to identify patterns, trends, and insights that inform the development of ML-driven product features.

• Collaborate with cross-functional teams to gather requirements, define project scope, and prioritize feature development based on business objectives.

• Work closely with design during product ideation to provide insight on what’s possible with our current data set and ML technologies.

• Collaborate with other engineers, implementing ML systems that other engineers can utilize in their features.

• Lead the implementation of scalable and robust ML systems, ensuring they meet performance, reliability, and scalability requirements.

• Strong proficiency and demonstrated experience in developing modern web applications.

• Strong proficiency with these or analogous technologies: Python, AWS, Docker.

• Proven track record of taking ownership of projects and initiatives end-to-end; ability to work across the stack and learn new skills as needed.

• Ability to work in a fast-paced startup environment; has the good judgment to make explicit trade-offs about speed and quality when necessary.

• Ability to ingest complex project requirements and execute on them.

Bonus points if you:

• Are passionate about helping people find jobs and rethinking how hiring could work.

• Have a strong bias for action.

• Are an amazing communicator (esp. in a remote environment).

• Lead initiatives where you see a need exists.

• Are highly creative (we all are!).