Principal Machine Learning Engineer, New Initiatives

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.

Total Rewards

For candidates hired in San Francisco metro, New York City metro, or Seattle metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $276,300 - $325,000 - $373,800. 

For candidates hired in the following locations: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro) and Washington DC metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $248,600 - $292,500 - $336,400. 

For candidates hired in all other US locations, the expected salary/On-Target Earnings (OTE) range for this role is currently $221,000 - $260,000 - $299,000. 

Range(s) is subject to change. Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use. 

Salary/OTE is just one component of Dropbox’s total rewards package. 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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