Senior Infrastructure Software Engineer - ML Platform
To see similar active jobs please follow this link: Remote Development jobs
Role Description
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.
Responsibilities
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
Preferred Qualifications
Familiarity with relevant technology stacks (ie. AWS, Kubernetes, Docker, Kubeflow, Ray, Tensorflow, PyTorch)
Compensation
US Zone 1
This role is not available in Zone 1
US Zone 2
$195,800—$265,000 USD
US Zone 3
$174,100—$235,500 USD
About the job
Senior Infrastructure Software Engineer - ML Platform
To see similar active jobs please follow this link: Remote Development jobs
Role Description
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.
Responsibilities
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
Preferred Qualifications
Familiarity with relevant technology stacks (ie. AWS, Kubernetes, Docker, Kubeflow, Ray, Tensorflow, PyTorch)
Compensation
US Zone 1
This role is not available in Zone 1
US Zone 2
$195,800—$265,000 USD
US Zone 3
$174,100—$235,500 USD