Senior Machine Learning Software Engineer

2 days ago

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Dropbox

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Cross-platform file sync • File sharing • Online backup • Cloud storage • Collaboration

1001 - 5000

Description

• As a Senior Machine Learning Engineer focused on search quality, you will play a crucial role in developing and enhancing our search capabilities to provide users with the best possible search experience. • You will work on designing, coding, training, testing, deploying, and iterating on large-scale machine learning systems that drive the core functionalities of Dropbox Dash’s search features. • Collaborating closely with cross-functional teams, you'll leverage your ML expertise to tackle audacious challenges. • Your contributions will directly impact millions of users, as every line of code you write furthers our mission to revolutionize the way people work and collaborate. • 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, Mathematics, Statistics, or other quantitative fields or related work experience. • 8+ years of experience in engineering with 5+ years of experience building Machine Learning or AI systems. • Strong industry experience working with large scale data. • Strong collaboration, analytical and problem-solving skills. • Familiarity with the state-of-the-art Large Language Models. • Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C++. • Experience with Machine Learning software tools and libraries (e.g., PyTorch, HuggingFace, LangChain, TensorFlow, Keras, Scikit-learn, etc.).