Bachelor’s degree in Computer Science, or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with data structures or algorithms.
2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
Preferred qualifications:
PhD in Machine Learning or a related field.
Experience with Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
Experience working with Large Language Models (LLMs).
Ability to grow under pressure in high-stakes, high-visibility environments.