Senior Machine Learning Engineer, Dash - Ranking and Recommendations

Job Posted 17 Days Ago Posted 17 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
236K-320K Annually
Senior level
Cloud • Consumer Web • Productivity • Software • App development • Automation • Data Privacy
Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working.
The Role
As a Senior Machine Learning Engineer at Dropbox, you'll design and develop large-scale machine learning systems that enhance user collaboration and organization. Your role includes building, deploying, and refining models while collaborating with various teams to integrate AI-driven features into Dropbox products.
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
  • Professional working experience in ML modeling for at least one of the following: Recommender Systems, Search, or Ranking
  • 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

$236,300$319,700 USD

US Zone 2

$212,700$287,700 USD

US Zone 3

$189,000$255,800 USD

Top Skills

C/C++
Go
Python

What the Team is Saying

Person1
Sukrith
Fullstack Engineer
“Words to describe the engineering culture at Dropbox are talented, innovative, breakneck speed. We do a lot here with really talented engineers. You get to understand what a high bar it is, how interesting the projects are that people work on, both internally and externally.“
Sukrith
Latane
Lisa
Mack
Veronica
The Company
New York, NY
2,500 Employees
Remote Workplace
Year Founded: 2007

What We Do

We're a global community of more than 2,000 bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the flexibility of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.

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.

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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
New York, NY
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