# Senior Machine Learning Engineer, Dash Agentic AI

**Company**: Dash Agentic AI
**Location**: Remote - US: All locations
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $245,200-$331,800 USD (US Zone 1), $220,700-$298,700 USD (US Zone 2), or $196,200-$265,400 USD (US Zone 3)
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/dropbox/jobs/7644886
**Canonical**: https://yubhub.co/jobs/job_9619f96b-6ca

## 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. Your work will power Dropbox Dash's universal agentic search and autonomous organization features, transforming how millions of users collaborate, stay organized, and focus on the work that truly matters.

Our ideal candidate has a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience). They should have 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems. They should also have professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.

The successful candidate will have deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar). They should be strong in Python and have experience with systems languages like Go or C/C++. They should also be comfortable building the infrastructure that surrounds the model.

In addition, they should have extensive experience working with large-scale distributed data systems and high-throughput production environments. They should have exceptional analytical skills and a 'bias to action' when navigating ambiguous technical challenges.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

We offer a competitive salary range of $245,200-$331,800 USD (US Zone 1), $220,700-$298,700 USD (US Zone 2), or $196,200-$265,400 USD (US Zone 3).

## Skills

### Required
- BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field
- 8+ years of software engineering experience
- 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
- Hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar)
- Strong proficiency in Python
- Experience with systems languages like Go or C/C++
- Extensive experience working with large-scale distributed data systems and high-throughput production environments
- Exceptional analytical skills
- Bias to action when navigating ambiguous technical challenges

### Nice to have
- PhD with a focus on Deep Learning, NLP, or Reinforcement Learning (RLHF/RLAIF)
- Proven track record of taking AI products from concept to launch
- Hands-on experience with autonomous agent frameworks
- Multi-step planning
- Tool-use (function calling)
- Advanced RAG
- Inference optimization
- Model distillation
- Fine-tuning techniques