Senior Machine Learning Engineer, Dash Agentic AI
Role Description As a Senior Machine Learning Engineer, you will play a key role in advancing Dropbox’s mission to create a more enlightened way of working. Leveraging cutting-edge AI/ML technologies, you will design, build, deploy, and refine highly reliable AI agents operating at massive scale.
What this role actually needs.
Role Description As a Senior Machine Learning Engineer, you will play a key role in advancing Dropbox’s mission to create a more enlightened way of working. Leveraging cutting-edge AI/ML technologies, you will design, build, deploy, and refine highly reliable AI agents operating at massive scale. Responsibilities: - BS, MS, or PhD in Computer Science , Mathematics, Statistics, or a related quantitative field ( or equivalent work experience ). - 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems. - Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems. - Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar). - Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model. - Extensive experience working with large-scale distributed data systems and high-throughput production environments. 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, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems. - Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems. - Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar). - Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model. - Extensive experience working with large-scale distributed data systems and high-throughput production environments. Company context: Dropbox is the public smart-workspace company building file collaboration, signature, and AI-assisted document tools.
Day-to-day expectations
Dropbox lists these responsibilities for the Senior Machine Learning Engineer, Dash Agentic AI role.
- BS, MS, or PhD in Computer Science , Mathematics, Statistics, or a related quantitative field ( or equivalent work experience ).
- 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
- Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
- Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
- Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
- Extensive experience working with large-scale distributed data systems and high-throughput production environments.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- BS, MS, or PhD in Computer Science , Mathematics, Statistics, or a related quantitative field ( or equivalent work experience ).
- 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
- Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
- Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
- Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
- Extensive experience working with large-scale distributed data systems and high-throughput production environments.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
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Source: jobs.dropbox.com · Source ID: 7644886 · Confidence: 88/100 · Last checked: May 7, 2026
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