Machine Learning Solutions Architect

3 weeks ago


Redwood City, California, United States Box Full time
About Box

Box is the market leader for Cloud Content Management, powering over 100,000 businesses, including many top Fortune 500 companies. Our mission is to power how the world works together by creating a single platform for secure content management, collaboration, and workflow.

We are committed to fair and equitable compensation practices and strive to create a diverse and inclusive workplace culture. If you're passionate about this opportunity and believe you can make a significant impact, we encourage you to apply.

**Job Description**

We are seeking a Machine Learning Solutions Architect to join our AI team at Box. As a key member of our team, you will be responsible for designing and implementing scalable machine learning solutions that drive business value. The ideal candidate will have a strong background in machine learning, data science, or a related field, with a focus on developing unique capabilities and applications using large language models (LLMs) and other advanced machine learning techniques.

This is an exciting opportunity to work on the bleeding edge of machine learning and make a significant impact on how billions of enterprise users get work done.

**Responsibilities**
  • Design and implement scalable machine learning solutions that drive business value
  • Conduct thorough experimentation and evaluation to measure performance
  • Implement and optimize complex algorithms for improved accuracy, speed, and scalability
  • Analyze vast datasets to uncover insights and opportunities for improvement
  • Stay current with the latest research in generative AI & ML, applying relevant techniques


Requirements

We are looking for a talented individual with a strong background in machine learning, data science, or a related field. The successful candidate will have a Master's degree in Computer Science, Mathematics, Statistics, or a related field, with 5+ years of industry experience in machine learning or a related field plus a PhD, or 10-15 years of industry experience without a PhD.

**Must-Have Experience:**
  • Proficiency in Python and Jupyter Notebooks
  • Familiarity with at least one object-oriented language like C, C++, Java, Scala
  • 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


Salary Range
$192,500-$240,500 USD per year

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