Dropbox
Cloud Storage • Enterprise • Productivity
Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.
Machine Learning Engineer
November 20
🇩🇰 Denmark – Remote
đź’µ kr.926.5k - kr.1.3M / year
⏰ Full Time
🟡 Mid-level
đźź Senior
🤖 Machine Learning Engineer
Dropbox
Cloud Storage • Enterprise • Productivity
Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.
đź“‹ Description
• Work with large scale data systems, and infrastructure • Help productionize multimodal and semantic retrieval systems at scale, powering Dash’s multimedia and creative search experiences. • Partner with product, design, and infrastructure teams to improve retrieval, ranking, and conversational experiences across image, video, and text content. • Build and iterate on quick prototypes and experimental features, driving innovation in multimodal interaction and creative workflows. • Run quality and performance benchmarks across individual components and end-to-end systems to identify optimization opportunities. • Contribute to open source projects and leverage OSS tools for efficient inference and scaling.
🎯 Requirements
• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or related fields • 5+ years of experience in engineering with 3+ years of experience building Machine Learning or AI systems • 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) • Familiarity with search-related applications of Large Language Models • Proven experience in machine learning, multimodal AI, or search and ranking systems • Familiarity with semantic search, embeddings, vector retrieval, and optimizing ranking metrics such as nDCG or MRR. • Experience running quality and performance benchmarks across components and end-to-end pipelines in large-scale machine learning and retrieval systems to identify and drive optimizations
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
Apply Now