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Senior Machine Learning Engineer, Dash - Ranking and Recommendations

extra holidays - extra parental leave - work from anywhere - fully flexible
Remote: 
Full Remote
Salary: 
189 - 320K yearly
Experience: 
Senior (5-10 years)
Work from: 
United States

Offer summary

Qualifications:

BS, MS, or PhD in Computer Science or related fields, 8+ years of engineering experience with 5+ years in Machine Learning systems.

Key responsabilities:

  • Design, build, and evaluate large scale Machine Learning systems
  • Collaborate with Product, Design, and Infrastructure teams to deploy models

Dropbox logo
Dropbox Large http://www.dropbox.com
1001 - 5000 Employees
About Dropbox
Dropbox is the one place to keep life organized and keep work moving. With more than 700 million registered users across 180 countries, we're on a mission to design a more enlightened way of working. Dropbox is headquartered in San Francisco, CA, and has offices around the world. To learn more about working at Dropbox, visit dropbox.com/jobs We also have a few simple guidelines to keep this space respectful and productive. Please avoid: - Harassing other people or using language that’s hateful, offensive, vulgar, or advocates violence - Trolling, fraud and spamming - Violating someone else’s rights or privacy - Advertising or soliciting donations - Link baiting - Posting off topic comments or thread hijacking We may remove comments that violate these guidelines.
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Job description

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

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Software EngineeringData ModelingMachine LearningArtificial IntelligencePandas (Python Package)Recommender SystemsPyTorch (Machine Learning Library)NumPy (Python Package)C++ (Programming Language)Python (Programming Language)Scikit-Learn (Python Package)Go (Programming Language)Bing SearchData AnalysisNatural Language Processing (NLP)Feature LearningSpeech ProcessingDeep LearningLarge Language ModelingSemi-Structured Data

Other Skills

  • Problem Solving
  • Collaboration
  • Analytical Skills
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