Machine Learning Engineer, Box AI

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 

• 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

 

WHO YOU ARE 

• Passionate about solving challenging ML problems through data-driven solutions
• Ownership mindset with focus on delivering high-quality work both technically & collaboratively
• Experience building, deploying and supporting scalable ML systems

Must Have Experience

• Proficiency in python and Jupyter Notebooks
• Familiarity with at least one object oriented language like C, C++, Java, Scala
• Bachelors degree in Computer Science, Machine Learning ,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
• 3+ years of industry experience in machine learning or related field

Nice To Have Experience

• Masters Degree or PhD. in Machine Learning, 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
• Familiarity with Large Language Models, RAG, Agentic Frameworks like LangChain
• 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

You are in an office based role with the expectation of working from the Redwood City, CA office a minimum of 2x/week

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.

 

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. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.

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$170,500—$213,000 USD