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Senior Machine Learning Engineer, Dash Agentic AI

2 days, 15 hours ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
C++ Deep Learning Go LLM Machine Learning NLP Python PyTorch Reinforcement Learning
Apply Now
Dropbox

Dropbox

Dropbox is a technology company that builds simple, powerful products for individuals and businesses. With over 700 million registered users worldwide, Dropbox offers file sync, sharing, online backup, cloud storage, collaboration tools, and more to st...

Internet Software & Services
1K-5K
Founded 2007
View All Jobs 105

Description

  • Design, build, deploy, and refine highly reliable AI agents at massive scale.
  • Advance Dropbox Dash’s universal agentic search and autonomous organization capabilities.
  • Work on AI/ML systems that support collaboration, organization, and focus for millions of users.
  • Build production AI/ML infrastructure surrounding model deployment and operation.
  • Collaborate on complex technical challenges in high-throughput, distributed production environments.
  • Participate in on-call rotations when assigned to the team.
  • Apply analytical judgment to ambiguous technical problems and move quickly to action.

Requirements

  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent work experience.
  • 8+ years of software engineering experience, including at least 5+ years building and deploying production-scale AI/ML systems.
  • Professional experience with ML modeling for complex systems such as search, ranking, or recommender systems.
  • Deep familiarity with LLM architectures and hands-on experience with ML libraries such as PyTorch, JAX, or similar.
  • Strong proficiency in Python.
  • Experience with systems languages like Go or C/C++.
  • Extensive experience with large-scale distributed data systems and high-throughput production environments.
  • Exceptional analytical skills and a strong bias to action in ambiguous technical situations.
  • PhD with a focus on Deep Learning, NLP, or Reinforcement Learning (preferred).
  • Experience taking AI products from concept to launch at massive scale or through multiple 0-to-1 cycles (preferred).
  • Hands-on experience with autonomous agent frameworks, multi-step planning, tool use/function calling, and advanced RAG (preferred).
  • Experience with inference optimization, model distillation, or fine-tuning to improve performance and cost efficiency (preferred).
  • Availability to participate in on-call rotations if assigned to the team.

Benefits

  • Competitive annual salary range of $196,200 to $331,800 USD depending on US zone.
  • Opportunity to work on products used by millions of users at scale.

Interested in this position?

Apply directly on the company website

Apply Now

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