Bachelor’s degree or equivalent practical experience.
2 years of experience with data structures or algorithms in either an academic or industry setting.
2 years of experience with software development in one or more programming languages (e.g., Python), or 1 year of experience with an advanced degree.
2 years of experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning or natural language processing.
Experience with computer vision, imaging, or augmented reality platforms.
Experience with multimodal machine learning or LLMs, building, and launching machine learning products.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field.
Experience developing accessible technologies.
Experience in productionizing machine learning solutions for resource constrained environments.
Experience working in an industry or academic research lab, focusing on multiple aspects of the "research to product" pipeline.
Strong background in machine learning, computer vision, and deep learning, in particular around scene and object understanding, better if proven by publications or research artifacts.