As a Senior Software Engineer joining our Machine Learning platform team, you will shape the Machine Learning foundation for Dropbox.
In this role, you will be crucial in architecting and developing reliable and performant software infrastructure that enables our customers to build high impact ML solutions at scale. You will work closely with machine learning engineers and data scientists to develop and maintain new systems and tooling, accelerating their ML development velocity and providing great and unified user experiences throughout the whole ML lifecycle. We care deeply about collaboration, feedback, and iteration. Trust and respect are deeply rooted in our engineering culture. We're bold when it comes to shipping high-leverage projects, even if they're risky or novel. We hope you'll join us!
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.
- Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections.
- Lead the expansion of Dropbox's function as the data-fabric, connecting hundreds of millions of applications, devices, and services globally, while also driving initiatives to enhance interoperability and adaptability across diverse ecosystems.
- Measure and optimize Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes.
- Collaborate with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure, ensuring a seamless experience for users worldwide.
- Mentor and guide junior team members, sharing knowledge and best practices to cultivate a culture of continuous learning and professional growth within the infrastructure engineering team.
- Stay current with emerging technologies and industry trends to continuously enhance Dropbox's infrastructure and maintain a competitive edge in the market.
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 or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
- 8+ years of professional software development experience
- Extensive experience building and owning large-scale, multi-threaded, geographically distributed backend systems
- Experience with ML infrastructure
- Highly skilled at developing and debugging in C/C++, Java, or Go, with knowledge of Python a plus
- Strong communication skills and ability to work effectively in a collaborative team environment
- Familiarity with relevant technology stacks (ie. AWS, Kubernetes, Docker, Kubeflow, Ray, Tensorflow, PyTorch)
Top Skills
What the Team is Saying
What We Do
We're a global community of 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
We believe people do their best work when empowered with autonomy and harmony, and we understand there’s no substitute for human connection. Our Virtual First model combines the flexibility of remote work with the power of in-person collaboration to create the best of both worlds: a distributed workplace, anchored in community.
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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.
