Machine Learning Engineer, Box AI

Artificial intelligence has been rapidly advancing in recent years, particularly in the area of generative AI. With the help of new large language models and massive amounts of data, AI systems are now able to understand and generate content on an unprecedented scale. This is a unique opportunity to work on the bleeding edge of machine learning and generative AI to make significant impact on how billions of enterprise users get work done. Passionate about solving challenging ML problems through data-driven solutions Ownership mindset with focus on delivering high-quality work both technically & collaboratively Experience building, deploying and supporting scalable ML systems Proficiency in python and Jupyter Notebooks Familiarity with at least one object oriented language like C, C++, Java, Scala Bachelors degree in Computer Science, Machine Learning ,Mathematics, Statistics, or a related Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas) Strong understanding of statistical modeling, data structures, and algorithms 3+ years of industry experience in machine learning or related field Masters Degree or PhD. in Machine Learning, Mathematics, Statistics, or a related field, with a focus on machine learning Familiarity with natural language processing, query understanding, and large language models Familiarity with deep learning techniques and frameworks Familiarity with Large Language Models, RAG, Agentic Frameworks like LangChain Publications or contributions to the machine learning community Develop unique capabilities and applications using LLMs and other advanced machine learning techniques Conduct experiments including A/B testing and evaluations to measure performance Implement and optimize algorithms for improved accuracy, speed, and scalability Analyze large-scale datasets for insights and improvement opportunities Stay up-to-date with latest research in generative AI & ML; apply relevant techniques