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Job Description
Role Description We are looking for a technical leader to help shape the Machine Learning agenda for Dropbox s new initiatives.
This will involve developing high impact ML solutions that touch hundreds of millions of people and a lot of data.
From images to documents in every language, using the full range of Machine Learning techniques from deep learning, interacting with modern LLMs (natural language), computer vision, etc.
and executing everywhere from mobile devices to large clusters on our back-end infrastructure.
Responsibilities You will work with machine learning experts across Dropbox to help shape where and how we use machine learning You will build delightful products and experiences for millions, while working alongside an excellent, multi-functional team across Engineering, Product and Design You will help craft the direction of machine learning and artificial intelligence at Dropbox Requirements BS, MS, or PhD in Computer Science or related technical field involving Machine Learning, or equivalent technical experience 10+ years of experience building machine learning or AI systems in applied settings Demonstrated skill develop deep learning model architectures in practice Strong communication skills and a demonstrated passion for helping others leverage machine learning Proven software engineering skills across multiple languages Python, C/C++ and ML packages (e.g., scikit-learn, TensorFlow, Caffe, Theano, Torch) 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.
. Category:Technology
This will involve developing high impact ML solutions that touch hundreds of millions of people and a lot of data.
From images to documents in every language, using the full range of Machine Learning techniques from deep learning, interacting with modern LLMs (natural language), computer vision, etc.
and executing everywhere from mobile devices to large clusters on our back-end infrastructure.
Responsibilities You will work with machine learning experts across Dropbox to help shape where and how we use machine learning You will build delightful products and experiences for millions, while working alongside an excellent, multi-functional team across Engineering, Product and Design You will help craft the direction of machine learning and artificial intelligence at Dropbox Requirements BS, MS, or PhD in Computer Science or related technical field involving Machine Learning, or equivalent technical experience 10+ years of experience building machine learning or AI systems in applied settings Demonstrated skill develop deep learning model architectures in practice Strong communication skills and a demonstrated passion for helping others leverage machine learning Proven software engineering skills across multiple languages Python, C/C++ and ML packages (e.g., scikit-learn, TensorFlow, Caffe, Theano, Torch) 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.
. Category:Technology
