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.
• Fine-tune and customize LLMs for enterprise readiness.
• Innovate on multi-modal AI and retrieval-augmented generation.
• Own the full ML lifecycle from data collection to model deployment.
• Define the multi-year AI/ML roadmap.
• Collaborate with cross-functional teams.
• Stay updated with state-of-the-art AI research.
• Drive AI-powered product innovation.

Requirements

• BS, MS, or PhD in Computer Science or related fields.
• 10+ years of experience in engineering with 5+ years in ML or AI systems.
• Experience with large-scale machine learning models.
• Strong collaboration and analytical skills.
• Familiarity with state-of-the-art LLMs.
• Proven software engineering skills in Python, Go, C/C++.
• Experience with ML tools and libraries (e.g., PyTorch, scikit-learn).

Benefits

• Competitive salary and benefits package.
• Flexible working hours and remote work options.
• Opportunities for professional development.
• Collaborative and innovative work environment.