Machine Learning Engineer

3 weeks ago


Canada Serendeputy Full time

Dropbox helps you simplify your workflow. At Dropbox, our pursuit of excellence in Machine Learning and Artificial Intelligence fuels our mission to empower users worldwide. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the product org to create and build delightful new experiences.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
Work with Product, Design, Infra and Frontend teams to bring your models, and features to life
Work with large scale data systems, and infrastructure
Evaluate the performance of machine learning systems against business objectives, and productionize those models
BS or MS in Computer Science or related technical field involving Machine Learning, or equivalent technical experience
~2+ years of experience building machine learning or AI systems
~ Proven software engineering skills across multiple languages including but not limited to Python, C/C++
~ Experience with machine learning software packages (e.g., 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, bayesian reasoning, recommender systems, learning to rank, speech processing, learning from semistructured data, reinforcement or active learning, large language models, ML software systems, machine learning on edge devices
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.
All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
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