Box Incorporated - Redwood City, CA

posted 6 months ago

Full-time - Mid Level
Redwood City, CA
501-1,000 employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

Box is the market leader for Cloud Content Management, and our mission is to power how the world works together. We are partnering with enterprise organizations to accelerate their digital transformation by creating a single platform for secure content management, collaboration, and workflow. As a Senior Machine Learning Engineer on the Box AI team, 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. Box powers over 100,000 businesses, including many top Fortune 500 companies who trust our secure collaboration platform to manage the entire content lifecycle. In this role, you will be at the forefront of artificial intelligence advancements, particularly in 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 new capability that harnesses the power of these advanced AI models in the Box Content Cloud. As a founding machine learning engineer, 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 a significant impact on how billions of enterprise users get work done. Your responsibilities will include developing unique capabilities and applications using LLMs and other advanced machine learning techniques, conducting experiments including A/B testing and evaluations to measure performance, implementing and optimizing algorithms for improved accuracy, speed, and scalability, analyzing large-scale datasets for insights and improvement opportunities, and staying up-to-date with the latest research in generative AI and ML to apply relevant techniques.

Responsibilities

  • 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

Requirements

  • 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 field
  • 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
  • 4+ years of industry experience in machine learning or related field

Nice-to-haves

  • 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

Benefits

  • Health insurance
  • 401k
  • Paid holidays
  • Flexible scheduling
  • Professional development
  • Employee stock purchase plan
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