Senior Machine Learning Engineer, Dash Agentic AI

. Design, build, deploy, and refine highly reliable AI agents operating at massive scale.

Posted 4/22/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $245,200 - $331,800 per yearWebsite

Tools & technologies

GoPythonPyTorch

Key responsibilities & impact

Design, build, deploy, and refine highly reliable AI agents operating at massive scale.
Power Dropbox Dash's universal agentic search and autonomous organization features, transforming how millions of users collaborate, stay organized, and focus on important work.
Collaborate with teams to deliver high-quality software and meet project objectives.

What you’ll need

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.
Exceptional analytical skills and a "bias to action" when navigating ambiguous technical challenges.

Comp & perks

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI agentsML modelingPythonGoC/C++PyTorchJAXlarge-scale distributed data systemsproduction-scale AI/ML systemshigh-throughput production environments

Soft Skills

collaborationanalytical skillsbias to actionproblem-solving