M+E Technology Job Board

Senior Machine Learning Engineer, Box AI

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Box is the market leader for Cloud Content Management. Our mission is to power how the world works together. Box is partnering with enterprise organizations to accelerate their digital transformation by creating a single platform for secure content management, collaboration and workflow. We have an amazing opportunity to further establish ourselves as leaders in the space, and we need strong advocates to help us achieve that goal. By joining Box, you will have the unique opportunity to help capture a majority of this developing market and define what content management looks like for the digital enterprise. Today, Box powers 100,000+ businesses, including many top Fortune 500 companies who trust our secure collaboration platform to manage the entire content lifecycle.


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.


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


Passionate about solving challenging ML problems through data-driven solutions
Ownership mindset with focus on delivering high-quality work both technically & collaboratively
Ability to inspire others while mentoring junior team members
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
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 plus PhD or preferably 10-15 years industry experience with out PhD


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