Join Our Innovate Team as a Senior Machine Learning Engineer at Box AI

Who is Box? As the market leader in Cloud Content Management, Box's mission is to redefine how the world works together. By partnering with top-tier enterprises, we are propelling digital transformation, crafting a unified platform for secure content workflows, management, and collaboration. Currently supporting over 100,000 businesses, including prominent Fortune 500 leaders, Box is shaping the future of digital content management in a secure, collaborative environment.

Why Box Needs You

The realm of Artificial Intelligence, especially generative AI, is advancing rapidly. Box is at the forefront with Box AI, a groundbreaking initiative leveraging these technological advancements to enhance organizational efficiency and creativity in content management. As a Senior Machine Engineer with Box, you will play a critical role in developing this initiative by forging our AI capabilities, setting the stage for transformative enterprise solutions.

Your Role and Impact

Your core responsibilities will include:

• Designing and deploying novel applications using Large Language Models (LLMs) and advanced ML algorithms.
• Executing rigorous experiments and A/B testing to evaluate performance enhancements.
• Optimizing algorithms to boost accuracy, speed, and scalability.
• Analyzing vast datasets to find insights and refine functionalities.
• Keeping abreast of the latest developments in ML and generative AI technologies, and integrating these insights into our platforms.

Who Are We Looking For?

You are ideally:

• Highly enthusiastic about tackling complex ML challenges using data-centric approaches.
• Driven by a sense of ownership, focused on delivering high-quality, technically profound work while fostering collaboration.
• A source of inspiration and guidance for junior team members.
• Experienced in developing, deploying, and scaling robust ML systems. 0>

Essential Skills:

• Proficiency in Python and Jupyter Notebooks.
• Experienced with Object-Oriented Programming languages such as C, C++, Java, or Scala.
• A Master’s degree (or higher) in Computer Science, Mathematics, Statistics, or a related field.
• Solid foundation in machine learning frameworks like TensorFlow or PyTorch and libraries such as scikit-learn, NumPy, pandas.
• At least four years of professional experience in a relevant field.

Valuable Additional Qualifications:

• A PhD in a relevant discipline, with an emphasis on machine learning.
• Familiarity with natural language processing, query understanding, and large language models.
• Exposure to deep learning approaches and frameworks.
• Contributions to the machine learning academic community or significant publications.

Why Box?

At Box, we are committed to fostering an inclusive workplace where diversity is celebrated, and all employees can perform to their highest potential. We embrace different perspectives and hinge our success on creating a vibrant culture marked by innovation and progression.

This role is office-based in Redwood City, CA with an expectation of being onsite a minimum of twice a week. Flexibility, inclusivity, and accommodation are at the core of our workplace ethos.

Excited about this opportunity? Even if you don't meet every criterion, we encourage you to apply! At Box, we take a holistic view of potential and value a diverse applicant pool.

Compensation and Benefits

The salary range for this role is $192,500 to $240,500, varying based on prior experience and qualifications. This position also qualifies for Box's comprehensive benefits package, including health benefits, equity, and additional perks.

Ready to redefine the future of enterprise content management and collaboration? Apply now to become a pivotal part of Box AI!