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, Infrastructure 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
Requirements & Skills:
BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
5+ years of experience in engineering with 3+ years of experience building Machine Learning or AI systems
Strong industry experience working with large-scale data
Strong analytical and problem-solving skills
Familiarity with search-related applications of Large Language Models
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., PyTorch, HuggingFace, TensorFlow, Keras, Scikit-learn, 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, graph learning, reinforcement or active learning, large language models, ML software systems, retrieval-augmented generation, machine learning on edge devices
