Dropbox
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- Data Engineer
- Senior Business Intelligence Engineer, Data Science
- Product Manager, New Frontiers - Machine Learning - Location Flexible
- Director of Marketing Operations, Technology, and Data
- Data Scientist, DBX Core Data Science
- Sr. Marketing Analyst
- Staff Machine Learning Software Engineer
- Senior Data Scientist, Growth
- Senior Engineering Manager, Machine Learning
- Data Scientist
- Senior Machine Learning Software Engineer
- Data Scientist, Revenue & Growth Finance
- Senior Data Engineer
- Senior Data Scientist, DBX Core Data Science
- Marketing Analytics Lead - Location Flexible
- Data Analytics Developer - Customer Experience
- Data Engineer
- People Analytics Lead, Research & Insights
- Data Engineer
- Intern, Business Analyst Engineer (Summer 2021)
Director, Machine Learning, New Initiatives
Director, Machine Learning, 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
- Strong communication skills and a demonstrated passion for helping others leverage machine learning
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).