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Principal Software Engineer, Corporate AI

1 hour, 49 minutes ago
United States
Full-time
Lead
Software Engineer
Software Development
Go Java Machine Learning NLP Prototyping Python Scala
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 57

Description

  • Define and communicate the technical vision for intelligence, AI, and data initiatives aligned with company strategy and organizational goals.
  • Lead the design, development, and deployment of high-performance AI systems, data pipelines, and intelligent services.
  • Make architectural decisions for complex AI, data, and platform challenges with both short-term and long-term tradeoffs in mind.
  • Architect and scale AI, automation, and intelligence platforms for analytics, personalization, search, and decision-making.
  • Drive innovation in machine learning models, distributed training, optimization, and data engineering.
  • Improve search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.
  • Evaluate, select, and integrate emerging AI, ML, and automation technologies.
  • Partner across engineering, product, design, infrastructure, and other stakeholders to align technical work with business objectives.
  • Provide mentorship, technical guidance, and design/code review support to engineers and data scientists.
  • Lead execution on critical, ambiguous initiatives by clarifying requirements, estimating effort, and driving delivery against milestones.

Requirements

  • 12+ years of professional software engineering experience.
  • Depth in intelligent workflows, enterprise-scale AI adoption, automation, or data engineering.
  • Proven experience leading large-scale, multi-team technical initiatives from conception to production.
  • Strong architectural judgment and systems thinking with the ability to balance delivery, scalability, and operational excellence.
  • Demonstrated ability to influence across teams and disciplines without formal authority.
  • Experience mentoring engineers and raising technical standards through design reviews, code reviews, and guidance.
  • Exceptional written and verbal communication skills.
  • Strong coding ability in at least one language commonly used in AI and data systems, such as Python, Java, Go, or Scala.
  • Hands-on experience building models, data pipelines, or scalable production services.
  • Experience in platform, infrastructure, or internal tooling organizations is preferred.
  • Experience collaborating with product, design, infrastructure, and legal or privacy stakeholders is preferred.
  • Familiarity with AI-assisted development practices in large codebases is preferred.
  • Experience representing engineering externally through talks, blogs, or industry events is preferred.

Benefits

  • Competitive salary of $256,300–$346,700 USD in US Zone 2.
  • Competitive salary of $227,800–$308,200 USD in US Zone 3.
  • Role is not available in US Zone 1.

Interested in this position?

Apply directly on the company website

Apply Now

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