Job Description

Role Description

At Dropbox, our pursuit of excellence in Machine Learning and Artificial Intelligence fuels our mission to empower users worldwide. We've cultivated a culture rooted in meticulous attention to detail, unwavering commitment to reliability, and a drive to innovate at scale. As a 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. 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

You will work within the Machine Learning Team to design, code, train, test, deploy and iterate on large scale machine learning systems You will build delightful products and experiences, 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 Develop and maintain production-quality code for serving machine learning models at scale Design online and offline ML experiments, perform data analysis, and explore feature quality for ML models Communicate technical trade-offs to multidisciplinary stakeholders, including product managers, software developers, and business leaders Proactively explore and integrate the latest advancements in Machine Learning into Dropbox's products 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 Ph
D in Computer Science or related technical field involving Machine Learning, or equivalent technical experience 5+ years of experience building production search or recommendation machine learning systems Proven software engineering skills across multiple languages including but not limited to Python and Go Familiarity with scalable search systems (e.g. Elastic
Search, Open
Search, Lucene) and information retrieval algorithms (e.g. TF-IDF, BM25, Learning to Rank) Experience with machine learning software packages (e.g., scikit-learn, Tensor
Flow, Py
Torch), and related libraries (numpy, pandas) Experience designing high-impact features for search or recommendation systems and developing, supporting, and debugging feature generation ETL pipelines Strong analytical, problem-solving, and communication skills Total Rewards US Zone 1 $204,000—$276,000 USD US Zone 2 $183,500—$248,400 USD US Zone 3 $163,000—$220,800 USD

Job Tags

Remote job, Worldwide,

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