• 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, and productionize those models

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

• BS or MS in Computer Science or related technical field involving Machine Learning, or equivalent technical experience
• 2+ years of experience building machine learning or AI systems
• Strong analytical and problem-solving skills
• Proven software engineering skills across multiple languages including but not limited to Python, C/C++
• Experience with machine learning software packages (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, recommender systems, learning to rank, speech processing, learning from semistructured data, reinforcement or active learning, large language models, ML software systems, machine learning on edge devices