Job Description

Company Description

Dropbox is a special place where we are all seeking to fulfill our mission to design a more enlightened way of working. We\'re looking for innovative talent to join us on our journey. The words shared by our founders at the start of Dropbox still ring true today. Wouldn\'t it be great if our working environment-and the tools we use-were designed with people\'s actual needs in mind? Imagine if every minute at work were well spent-if we could focus and spend our time on the things that matter. This is possible, and Dropbox is connecting the dots. The nearly 3,000 Dropboxers around the world have helped make Dropbox a living workspace - the place where people come together and their ideas come to life. Our 700+ million global users have been some of our best salespeople, and they have helped us acquire customers with incredible efficiency. As a result, we reached a billion dollar revenue run rate faster than any software-as-a-service company in history. Dropbox is making the dream of a fulfilling and seamless work life a reality. We hope you\'ll join us on the journey.

Team Description

Our Engineering team is working to simplify the way people work together. They\'re building a family of products that handle over a billion files a day for people around the world. With our broad mission and massive scale, there are countless opportunities to make an impact.

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.

This individual will work closely with senior executives, colleagues, and stakeholders to shape priorities, establish roadmaps, and bring about transformative Machine Learning (ML) and Artificial Intelligence (AI) products and capabilities. The ideal candidate should have a deep understanding of and hands-on experience in constructing expansive data and AI products and platforms. They must also exhibit an unwavering commitment to engineering and operational excellence.

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
• Continuously innovate and drive the adoption of ML best practices and technologies, to enhance both internal and external product experiences.
• Collaborate closely with cross-functional teams including product managers, designers, and other engineering teams to ensure seamless integration of ML capabilities into Dropbox\'s products.
• Recruit, mentor, and retain a high-performing team of AI/ML engineers, while fostering a culture of collaboration, innovation, and continuous learning.
• Set and maintain a high bar for technical excellence

Requirements

• 10+ years of experience building machine learning or AI systems in applied settings
• Strong communication skills and a demonstrated passion for helping others leverage machine learning
• Significant experience in building and leading high-performing engineering teams, with a focus on AI/ML development and applied research.
• Strong understanding of Language Models (LLMs) and related technologies is highly desirable.
• Ability to thrive in a fast-paced, dynamic startup environment. Comfortable taking calculated risks and experimenting with new approaches.
• A history of delivering tangible results and achieving objectives within the ML and AI domain.
• A commitment to continuous innovation and staying up-to-date with the latest ML best practices and technologies.
• BS, MS, or PhD in Computer Science or related technical field involving Machine Learning, or equivalent technical experience

Benefits

Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to:

• Competitive medical, dental and vision coverage*
• Retirement Savings through a defined contribution pension or savings plan**
• Dropbox provides a Flexible PTO Policy in addition to your statutory holidays allowing you to unplug, unwind, and refresh
• Dropbox also provides exclusive additional paid time off for all FTE employees across the Globe, in addition to any relevant statutory holidays
• Protection Plans including Life and Disability Insurance*
• A Perks Allowance to be used on what matters most to you, whether that\'s wellness, learning and development, food & groceries, and much more
• Parental benefits including; Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support

Additional benefits details are available upon request.

*Where group plans are not available, allowances are provided
**Benefit, amount, and type are dependent on geographical location, based upon applicable law or company policy

Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).

Dropbox