Staff Machine Learning Engineer

6 days ago

Apply Now

Receive Emails with Similar Jobs

Dropbox

WebsiteLinkedInAll Job Openings

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.

Cross-platform file sync • File sharing • Online backup • Cloud storage • Collaboration

1001 - 5000 employees

Founded 2007

🏢 Enterprise

⚡ Productivity

📋 Description

• As a Staff Machine Learning Engineer at Dropbox, you will lead the development of AI-powered intelligent systems that leverage and innovate on large language models (LLMs) to power search relevance and ranking, conversational AI, content creation, automation, and workflow intelligence. • Your work will directly impact Dropbox’s ability to deliver cutting-edge AI-first experiences to users and businesses. You will collaborate across engineering, product management, design, and user research to push the boundaries of what’s possible with AI, ensuring that Dropbox remains at the forefront of innovation. • Build and Scale AI-powered Systems: Design and implement ML-driven solutions that enhance search relevance, ranking, document understanding, conversational AI, and workflow automation. • LLM Fine-tuning & Customization: Develop techniques to fine-tune, adapt, and enhance LLMs to make them enterprise-ready, ensuring optimal performance for Dropbox’s use cases. • Innovate on top of LLMs: Push the boundaries of multi-modal AI, retrieval-augmented generation (RAG), in-context learning, and agentic AI to create new product capabilities. • End-to-End AI Development: Own the full ML lifecycle, from data collection and preprocessing to model training, deployment, and continuous evaluation of AI models in production. • Technical Strategy & Leadership: Define the multi-year AI/ML roadmap, making key architectural and modeling decisions that align with Dropbox’s long-term vision. • Cross-functional Collaboration: Partner with engineers, designers, product managers, and researchers to integrate AI capabilities into Dropbox’s core product offerings. • Stay at the Cutting Edge: Keep up with state-of-the-art AI research, evaluating and incorporating advances in deep learning, transformers, multi-modal learning, and foundation models into Dropbox’s AI stack. • Drive AI-powered Product Innovation: Identify and propose novel product features that can be built with LLMs, working closely with product teams to bring AI-powered experiences to Dropbox users.

🎯 Requirements

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience • 10+ years of experience in engineering with 5+ years of experience building Machine Learning or AI systems • Designed, fine-tuned, or deployed large-scale machine learning models, including Large Language Models (LLMs), for production use in a real-world application • Strong industry experience working with large scale data • Strong collaboration, analytical and problem-solving skills • Familiarity with the state-of-the-art in 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, scikit-learn, numpy, pandas, etc.)