Senior Machine Learning Engineer, Dropbox
Dash, Ranking and Recommendations
CA$199.8-270.3k
+ Bonus + Stock in the form of Restricted Stock Units (RSUs)
Smart workspace company
Open for applications
Smart workspace company
1001+ employees
Open for applications
CA$199.8-270.3k
+ Bonus + Stock in the form of Restricted Stock Units (RSUs)
1001+ employees
Company mission
Dropbox's mission is to design a more enlightened way of working.
Role
Who you are
- 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.)
Desirable
- 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
What the job involves
- 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
- 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
Our take
Dropbox started by helping people bring together their files in one central place. The contents of these folders are synchronised to Dropbox's servers along with other computers and devices where the user has installed Dropbox, keeping the same files up-to-date across all devices.
Nowadays, there are lots of competing companies in cloud storage, and some with better distribution (e.g. Google and Apple). This explains why Dropbox is making a big push to reinvent itself after a fairly disappointing run since its IPO in 2018. The new Dropbox turns folders into "Spaces", which are collaboration hubs for teams, complete with comment streams, artificial intelligence tools and integrations into services such as Slack.
The company continues to build out its offerings through acquisitions, such as that of Formswift, bolstering its end-to-end agreement workflow capabilities. Indeed, It's very clear that Dropbox is trying to make a big move from being just a storage company. This seems to be a necessary move given the competitive nature of the industry it is operating within.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
3% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2014
$350m
SERIES C
Oct 2011
$250m
SERIES B
Total funding: $607.3m
Company benefits
- Medical, dental, and vision coverage
- We offer a generous company contribution toward individual medical, dental, and vision insurance coverage, including contributions toward dependent premiums
- Keep sharing and collaborating with friends and family even when you’re not at work with free Dropbox space for your whole crew
- Take the vacation you’ve always dreamed of with up to four consecutive weeks of paid time off
- Celebrate common holidays without your paycheck taking the hit with 11 company paid holidays
- Each Dropboxer has access to 32 hours of paid volunteer time off each year that they can use to support the causes close to their hearts
- We regularly offer panels and seminars featuring the best minds in tech, talent, diversity, and beyond that any Dropboxer can attend from the comfort of their home
- No two Dropboxers are the same, and their benefits shouldn’t be either. Our Perks allowance empowers employees to customize their benefits in line with what really matters to them
Company values
- Be Worthy of Trust - Millions of teams trust us with their most important information. But this trust can vanish in an instant. That’s why integrity is the foundation of our culture. We do the right thing, even when nobody’s looking. And we’re honest—even when it’s uncomfortable
- They win, We win - Our customers come first. So we put in the work to deeply understand them. We ask, “Who’s the customer?” and “What do they really need?” When they succeed, our business (and everything else) falls into place
- Keep it Simple - Simple things work better—and make more sense. So we build products that do a few things really well. And we don’t overcomplicate life at Dropbox, whether it’s a plan or a process. Getting to simple isn’t always easy, but it’s worth the effort
- Own it - We take responsibility for our work, from start to finish. When we get stuck, we unblock ourselves. When something goes wrong, we don’t ask, “What did they screw up?” but “What could I do better?” We learn from our mistakes and keep going—until we have real impact
- Make work Human - Our mission is to design a more enlightened way of working, for Dropboxers and the world. So we make products that prioritize our needs as humans. And we build a compassionate culture where you can do your best work—no matter who you are or where you’re from
Company HQ
Mission Bay, San Francisco, CA
Articles
Leadership
Arash Ferdowsi
(CTO)Studied Computer Science at MIT before founding Dropbox straight out of university
Drew Houston
(CEO)Studied Computer Science at MIT before founding Dropbox straight out of university
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