Subconscious AI is a technology company that allows users to conduct causal experiments for any human behavior at a fraction of the cost and time of traditional methods. Our mission is to help people conduct research faster, with higher quality, and more ethically.
We're looking for talented individuals who share our values and are excited to take part in this cutting-edge field.
This role would potentially qualify recent graduates for full-time engineering.
Role Description
This is an internship role for a Machine Learning Operations Engineer. As an MLOps Engineer at Subconscious AI, you will be responsible for learning to develop and maintain both the front-end and back-end of our research platform. Your day-to-day tasks will be to learn to implement new features and work with our team to develop creative solutions to complex problems. You will also be expected to learn the latest technologies and work collaboratively with other members of our team to continuously improve our product.
Key Responsibilities
Learn to develop and maintain scalable server-side logic using Python.
Learn how to implement industrial-grade APIs.
Write reusable, testable, and efficient code.
Qualifications
Bachelor’s degree in Computer Science, Engineering or a related field, or equivalent experience.
1+ years of experience in Python development.
Curiosity about Causality, LLMs, and Operational tools like EconML and Weights and Biases
Experience with cloud platforms (e.g., GCP, Azure), CI/CD pipelines, and Github.
Excellent communication and teamwork skills.
Great attention to detail and organizational skills.