Senior Machine Learning Engineer, Dash

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Seattle, WA
Remote
225K-305K Annually
Senior level
Cloud • Consumer Web • Productivity • Software • App development • Automation • Data Privacy
Our mission is to design a more enlightened way of working. Join us!
The Role
The Senior Machine Learning Engineer will design, build, deploy, and refine large-scale machine learning systems at Dropbox, focusing on AI search and organization features. Responsibilities include collaborating with various teams, contributing to the technical strategy, and integrating advancements in AI technologies.
Summary Generated by Built In

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 large-scale machine learning systems. Your work will power Dropbox Dash’s universal AI search and AI-assisted organization features, transforming how millions of Dropbox users collaborate, stay organized, and focus on the work that truly matters.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

  • Design, build, evaluate, deploy and iterate on large scale Machine Learning systems
  • Understand the Machine Learning stack at Dropbox, and build systems that help Dropbox personalize their users’ experience. Develop and maintain production-quality code for serving machine learning models at scale
  • Work with Product, Design, Infrastructure and Frontend teams to bring your models, and features to life
  • Contribute to team’s technical strategy for the end-to-end machine learning lifecycle, ensuring alignment with business objectives and driving impactful outcomes
  • Explore and integrate the latest advancements in Search, LLMs, Recommender Systems, and Representation Learning into Dropbox's products

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.

Requirements

  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
  • 8+ years of experience in engineering with 5+ years of experience building Machine Learning or AI systems
  • Strong industry experience working with large scale data
  • Strong collaboration, analytical and problem-solving skills
  • Familiarity with the state-of-the-art in Large Language Models 
  • Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C++
  • Experience with Machine Learning software tools and libraries (e.g., PyTorch, Scikit-learn, numpy, pandas, etc.)

Preferred Qualifications

  • PhD in Computer Science or related field with research in machine learning
  • Experience with one or more of the following: Natural Language Processing, Deep Learning, Recommender Systems, Learning to Rank, Speech Processing, Learning from Semi-structured Data, Graph Learning, Large Language Models, and Retrieval-Augmented Generation
  • 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 

Compensation

US Zone 1

$225,300$304,800 USD

US Zone 2

$202,700$274,300 USD

US Zone 3

$180,200$243,800 USD

Top Skills

C
C++
Go
Python

What the Team is Saying

Caitlin
Latane
Drew
Mack
The Company
Seattle, WA
2,500 Employees
Remote Workplace
Year Founded: 2007

What We Do

Dropbox is a special place where we are all seeking to fulfill our mission to design a more enlightened way of working. We’re looking for innovative talent to join us on our journey. The words shared by our founders at the start of Dropbox still ring true today. Wouldn’t it be great if our working environment—and the tools we use—were designed with people’s actual needs in mind? Imagine if every minute at work were well spent—if we could focus and spend our time on the things that matter. This is possible, and Dropbox is connecting the dots. The nearly 3,000 Dropboxers around the world have helped make Dropbox a living workspace - the place where people come together and their ideas come to life. Our 700+ million global users have been some of our best salespeople, and they have helped us acquire customers with incredible efficiency. As a result, we reached a billion dollar revenue run rate faster than any software-as-a-service company in history. Dropbox is making the dream of a fulfilling and seamless work life a reality. We hope you’ll join us on the journey.

Why Work With Us

Our remote work model is a deliberate shift to provide greater flexibility, create a level-playing field, and evolve our culture to focus on people over places. Being a Virtual First company has allowed us to focus on our impact and effectiveness, by making investments in our employees according to what they need to do their best work.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Dropbox Teams

Team
Welcome to Dropbox
About our Teams

Dropbox Offices

Remote Workspace

Employees work remotely.

While remote work is the primary experience for our employees, we also prioritize opportunities for quarterly in-person collaboration knowing that connection is vital to a thriving workforce. We focus on how we work, not where we work.

Typical time on-site: None
Seattle, WA

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account