Senior Machine Learning Engineer, Box AI

Key Skills

A/B Testing, Algorithms, C Programming, C++, Data structuring, Deep Learning, Java Programming, Jupyter Notebook, Machine learning techniques, Natural Language Processing (NLP), NumPy, Pandas, Python Programming, Scala Programming, Scikit-learn, Statistical modeling

Job Description

WHY BOX NEEDS YOU 

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. Box AI is a brand new capability that was recently announced by Box to harness the power of these advanced AI models in the Box Content Cloud. Box AI will make it easier than ever to uncover and share insights, find timely answers to critical questions, and effortlessly create content based on an organization’s data in Box. As a founding machine learning engineer on the Box AI team, you will play a pivotal role in building out our AI platform that will power these capabilities. 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.

WHAT YOU'LL DO 

• Come up with unique ways to apply LLMs and other advance machine learning techniques to power Box AI capabilities
• Conduct experiments, A/B testing, and evaluations to measure the performance and effectiveness of various ML models.
• Implement and optimize algorithms to improve the accuracy, speed, and scalability
• Analyze large-scale data sets to gain insights and identify opportunities for improvement
• Keep up-to-date with the latest research and advancements in the field of generative AI and machine learning, and apply relevant techniques to solve real-world problems.
• Mentor and provide technical guidance to junior members of the team.

WHO YOU ARE 

• You are passionate about solving hard machine learning problems using data-driven solutions
• You like to be an owner and strive to do work you're proud of, both technically and in your team interactions
• Able to inspire other people to work with you, and you enjoy mentoring and coaching, as well as learning from other engineers
• You've built, deployed, and supported machine learning systems at scale
• You have strong analytical and problem-solving skills, with the ability to work with large and complex datasets.

Must Have Experience

• Proficiency in Python and Jupyter Notebooks
• Familiarity with at least one object oriented language like C, C++, Java, Scala
• Master's degree in Computer Science, 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
• 5+ years of industry experience in machine learning or related field

Nice To Have Experience

• Ph.D. in Computer Science, 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
• Publications or contributions to the machine learning community