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Job Description
Role Description As a Staff 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! Responsibilities You will identify and lead strategic initiatives that streamline ML Operations (MLOps), optimize platform performance, and improve system health You will design, build, test and maintain scalable and reliable infrastructure that supports machine learning workflows from training to serving ML models You will provide technical leadership and guidance to engineers and multi-functional partners You will collaborate with cross-functional teams to understand their requirements and develop solutions that meet their needs Requirements BS, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience 12+ 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 a plus (ie.
AWS, Kubernetes, Docker, Kubeflow, Ray, Tensorflow, PyTorch) 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.PandoLogic. Category:Technology
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! Responsibilities You will identify and lead strategic initiatives that streamline ML Operations (MLOps), optimize platform performance, and improve system health You will design, build, test and maintain scalable and reliable infrastructure that supports machine learning workflows from training to serving ML models You will provide technical leadership and guidance to engineers and multi-functional partners You will collaborate with cross-functional teams to understand their requirements and develop solutions that meet their needs Requirements BS, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience 12+ 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 a plus (ie.
AWS, Kubernetes, Docker, Kubeflow, Ray, Tensorflow, PyTorch) 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.PandoLogic. Category:Technology
