Staff Machine Learning Engineer - Remote

Overview

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. You will architect and build complex, scalable ML systems that integrate enterprise-wide context, fine-tune models, and develop new capabilities beyond existing LLM paradigms.

In Short

• Build and Scale AI-powered Systems
• LLM Fine-tuning & Customization
• Innovate on top of LLMs
• End-to-End AI Development
• Technical Strategy & Leadership
• Cross-functional Collaboration
• Stay at the Cutting Edge
• Drive AI-powered Product Innovation

Requirements

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or related fields
• 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 LLMs
• 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 Python, Go, C/C++
• Experience with Machine Learning software tools and libraries (e.g., PyTorch, Scikit-learn, numpy, pandas)

Benefits

• Competitive salary and benefits
• Opportunity to work on cutting-edge AI technologies
• Collaborative and innovative work environment
• Flexible working hours
• Remote work options