Role Description
Dropbox is looking for a Machine Learning Engineer to join our User Understanding team. User Understanding team’s mission is “to personalize users’ journey through Dropbox products and features”. The team develops models, systems and features that leverage the massive scale of Dropbox’s user base to understand and predict user behavior to optimize the experience at all stages of the user journey at Dropbox. Relevant experience can range from working on a wide-variety of optimization, and classification problems, e.g. segmentation, propensity modeling, text/sentiment classification, click-through rate prediction, collaborative filtering/recommendation, or spam detection.
- Design, build, evaluate, deploy and iterate on large scale Machine Learning systems
- Understand the Machine Learning stack at Dropbox, and build systems that help Dropbox personalize their users’ experience
- Work with Product, Design, Infra and Frontend teams to bring your models, and features to life
- Work with large scale data systems, and infrastructure
- Evaluate the performance of machine learning systems against business objectives
- BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
- 5+ years of experience building Machine Learning or AI systems
- Strong industry experience working with large scale data
- Strong analytical and problem-solving skills
- Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C++
- Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)
- PhD in Computer Science or related field with research in machine learning
- Experience with one or more of the following: natural language processing, deep learning, bayesian reasoning, recommendation systems, learning for search, speech processing, learning from semistructured data, graph learning, reinforcement or active learning, ML software systems, machine learning on mobile devices
What the Team is Saying
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What We Do
We're a global community of more than 2,000 bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the flexibility of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.
Why Work With Us
Our remote work model is a deliberate shift to provide greater flexibility, create a level-playing field, and evolve our culture to focus on people over places. Being a Virtual First company has allowed us to focus on our impact and effectiveness, by making investments in our employees according to what they need to do their best work.
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Dropbox Offices
Remote Workspace
Employees work remotely.
While remote work is the primary experience for our employees, we also prioritize opportunities for quarterly in-person collaboration knowing that connection is vital to a thriving workforce. We focus on how we work, not where we work.
