Senior Machine Learning Engineer, Search Relevance

Key Skills

Algorithms, Apache Solr, C Programming, C++, Data structuring, Deep Learning, Java Programming, Lucene, Machine learning techniques, NumPy, Pandas, PyTorch, Scala Programming, Scikit-learn, Statistics, TensorFlow

Job Description

WHAT IS BOX?

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.

WHY BOX NEEDS YOU 

Box Search powers content discovery for millions of users and hundreds of billions of documents. The amount of content our customers are storing within Box is growing at an unprecedented rate. In turn, browsing through a file tree has become increasingly difficult, leaving Search as the de facto way for knowledge workers to connect with the content they need to do critical elements of their jobs. As a Search Relevance Engineer at Box Inc, you will play a pivotal role in developing and enhancing our search relevance algorithms to ensure that our users can efficiently and effectively find the content they need within our platform. You will work closely with cross-functional teams, including product managers, data scientists, and software engineers, to deliver state-of-the-art search capabilities to our users. This is an exciting opportunity to contribute to cutting-edge machine learning technology and make a significant impact on the user experience of our platform.

WHAT YOU'LL DO 

• Own, align and drive the roadmap for our Search Relevance at Box.
• Develop and enhance search relevance algorithms by applying advanced machine learning techniques and statistical modeling.
• Implement and optimize algorithms and models to improve accuracy, speed, and scalability.
• Analyze large-scale data sets to gain insights and identify opportunities for improvement in search relevance.
• Conduct experiments, A/B testing, and evaluations to measure the performance and effectiveness of different algorithms and models.
• Keep up-to-date with the latest research and advancements in the field of search relevance 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 

• Passionate about solving hard 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
• Bachelor's or 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
• 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 or information retrieval
• Familiarity with search relevance concepts and techniques, including ranking, query understanding, and relevance evaluation
• Familiarity with deep learning techniques and frameworks
• Past experience working with Solr/Lucene or other information retrieval engines
• Publications or contributions to the machine learning or information retrieval community

LEARN MORE ABOUT BOX SEARCH

• Haystack US 2023 - Jay Franck: Enterprise Search Relevance at Box: Simplicity
• Scaling Box-Search: Gearing up for Petabyte Scale - Shubhro Roy & Anthony Urbanowicz, Box

Head-over-heels about this role — but not sure you meet all the requirements? Apply anyway! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Box, we take a big-picture approach to hiring that fosters authenticity, diversity, and inclusion. If you're passionate about this opportunity, chances are, you shine pretty bright.