Senior Machine Learning Engineer, Content Intelligence, Warsaw, Poland

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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.

Today, Box powers over 100,000 businesses, including 69% of the Fortune 500 who trust Box to manage their content in the cloud. Our Warsaw office is an incredibly exciting addition to our EMEA expansion. We're already in London, France, and Germany, and the new Poland location will act as a global engineering and product development hub alongside our headquarters in Redwood City, California.

WHY BOX NEEDS YOU?

Customers trust Box with Petabytes of their business-critical content. The brand new Content Intelligence team will create Machine Learning based systems that empower customers with actionable knowledge about their content. For example, let customers define content-based security policies to prevent accidental over-sharing of their sensitive files. This team will interact with other teams at Box like Shield, Search Relevance, Governance, Conversion, Metadata, etc. This work has significant impact on Box offering and is highly visible both within and outside the company.

WHAT YOU'LL DO?

• Build and manage scalable ML-powered systems that process customer content
• Develop high-quality code that powers distributed backend systems
• Explore data, train and evaluate models
• Build scalable data pipelines and datasets
• Work with Product Managers and UI designers to translate ML technologies into brand new capabilities that set Box apart from the rest.
• Work with teammates to foster solid engineering principles and represent our engineering values.

Mandatory Requirements:

• 5+ years of professional software development experience
• Ability to define and drive long-term engineering projects with Machine Learning components
• Solid background and industry experience in Data Science and Machine Learning
• Expert in designing, building and maintaining distributed Backend systems
• Assess, communicate and complete project milestones with manager and team members in a time-sensitive manner
• English language proficiency

Requirements that are Welcome:

• Proficiency in data exploration using Pandas, Spark or a similar framework
• Expertise in Natural Language Processing tasks
• Experience with Google Cloud Platform or Amazon Web Services
• Experience with Java/Scala technologies

Candidate will be expected to:

• Collaborate with the Product team on product requirements and translate that into technical design
• Define, drive and maintain long-term engineering projects
• Design, implement, debug and test scalable software systems powered by Machine Learning
• Build data pipelines, explore datasets, train and evaluate models
• Propose system improvements based on data and customer feedback
• Attend and engage in weekly stand ups, team meetings, manager 1:1s
• Work collaboratively with other engineers, team members and across teams
• Play a role in developing and fostering Box culture in the newly created office
• Represent Box Poland internally and externally

Percentage of Time Spent:

• 50% technical work, including software design, coding, machine learning
• 20% meetings
• 10% mentoring
• 10% documentation
• 10% bug fixes

Tools:

• Agile management - Scrum, Kanban
• Issue tracking tool - Jira
• Knowledge repository - Confluence, Box notes, Google Docs
• Code reviews - GitHub Entreprise 
• Version control system - GitHub Entreprise
• CI/CD automation system - Jenkins
• Machine Learning - Jupyter notebooks