Staff Software Engineer

Redwood City, CA, United States

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

Introducing Box AI: Unlock the value of your content

Box AI Principles

Forbes Article

BENEFITS

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

EQUAL OPPORTUNITY

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.

Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information on benefits, check out our  healthcare benefits  and additional  Box Benefits + Perks .

In accordance with OFCCP compliance, here is the Pay Transparency Provision.

United States Pay Range $215,000—$269,000 USD