Staff Machine Learning Software Engineer
New Initiatives
Confirmed live in the last 24 hours
Dropbox

1,001-5,000 employees

Smart workspace & storage solutions
Company Overview
Dropbox’s mission is to design a more enlightened way of working with their custom-built storage infrastructure designed for a variety of needs. The company is committed to keeping life organized and keep work moving with their secure file sharing, collaboration, and storage solutions.
Consulting
Venture Capital
Data & Analytics

Company Stage

Series C

Total Funding

$1.7B

Founded

2007

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

-2%

2 year growth

0%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Pytorch
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
  • 10+ years of engineering experience with 6+ years building Machine Learning or AI systems
  • Experience working in a start-up or in a start-up like environment
  • Strong industry experience working with large scale data systems
  • Strong analytical and problem-solving skills
  • Familiarity with the latest development in LLMs
  • Proven software engineering skills across multiple languages including but not limited to Python
  • Experience with Machine Learning software tools and libraries (e.g. TF, PyTorch, HuggingFace, LangChain etc.)
Responsibilities
  • Serve as the ML thought leader to adopt and get ahead in the fast evolving landscape of ML
  • Design, build, evaluate, deploy and iterate on machine learning models with thousands to billions of parameters (or more!)
  • Push the limits of what's considered possible at scale and generate gains by leveraging the latest development in AI
  • Work across teams and functions to bring your models, and features not considered possible before to life
Desired Qualifications
  • PhD in Computer Science or related field with research in machine learning
  • Experience building 0→1 ML products at large (dropbox-level) scale or multiple 0→1 products at smaller scale including experience with large-scale product systems
  • Experience with one or more of the following: Recommendation Systems, Search, Large Language Models (LLMs)