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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 over 100,000 businesses, including 69% of the Fortune 500 who trust Box to manage their content in the cloud.
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
Bachelor'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
LEARN MORE ABOUT BOX AI
Visit this webpage to check out all of our exciting healthcare benefits: https://join.collectivehealth.com/box
For all other benefits, please check out: Box Benefits + Perks
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Accommodations are available throughout the application process and an employee’s employment at Box.
HEALTH AND SAFETY
To promote the health and safety of all Boxers and our communities, in order to "Go to Work" at Box in the U.S., you must be Fully Vaccinated and “up to date” as defined by the CDC or have an approved accommodation. "Go(ing) to Work" at Box is defined as visiting a Box office, facility, or co-working site, visiting or meeting in person with fellow Boxers, Box clients and/or customers, vendors, or partners, engaging in business travel, and or participating in any Box-sponsored and/or related activity where others are present. If you are fully remote and do not "Go to Work,” the vaccination requirement is not applicable. "Fully Vaccinated" means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. If you are unable to get a vaccine due to a medical condition, a sincerely-held religious belief or another legally recognized reason, Box will consider requests for an accommodation.
For details on how we protect your information when you apply, please see our Personnel Privacy Notice.