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Box // cloud content management
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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 & workflow. We have an amazing opportunity to further establish ourselves as leaders in the space, & 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 & 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

Artificial intelligence has been rapidly advancing in recent years, particularly in the area of generative AI. With the help of new large language models & massive amounts of data, AI systems are now able to understand & 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 & share insights, find timely answers to critical questions, & effortlessly create content based on an organizations 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 & generative AI to make significant impact on how billions of enterprise users get work done.

WHAT YOU'LL DO

  • Develop unique capabilities & applications using LLMs & other advanced machine learning techniques
  • Conduct experiments including A/B testing & evaluations to measure performance
  • Implement & optimize algorithms for improved accuracy, speed, & scalability
  • Analyze large-scale datasets for insights & 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
  • Ability to inspire others while mentoring junior team members
  • Experience building, deploying & supporting scalable ML systems

MUST HAVE EXPERIENCE:

  • Proficiency in python & Jupyter Notebooks
  • Familiarity with at least one object oriented language like C, C++, Java, Scala
  • Master's degree in Computer Science, Mathematics, Statistics, or a related
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) & libraries (e.g., scikit-learn, NumPy, pandas)
  • Strong understanding of statistical modeling, data structures, & algorithms
  • 5+ years of industry experience in machine learning or related field plus PhD or preferably 10-15 years industry experience with out PhD

NICE TO HAVE:

  • Ph.D. in Computer Science, Mathematics, Statistics, or a related field, with a focus on machine learning
  • Familiarity with natural language processing, query understanding, & large language models
  • Familiarity with deep learning techniques & frameworks
  • Publications or contributions to the machine learning community

LEARN MORE ABOUT BOX AI

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 & 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, & inclusion. If you're passionate about this opportunity, chances are, you shine pretty bright.

EQUAL OPPORTUNITY 

We are an equal opportunity employer & 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, & any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity & independence of people with disabilities & is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, & 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 & beyond.

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