Senior Infrastructure Software Engineer, Ml Platform

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.

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.

As a Senior Software Engineer joining our Machine Learning platform team, you will shape the Machine Learning foundation for Dropbox.

In this role, you will be crucial in architecting and developing reliable and performant software infrastructure that enables our customers to build high impact ML solutions at scale. You will work closely with machine learning engineers and data scientists to develop and maintain new systems and tooling, accelerating their ML development velocity and providing great and unified user experiences throughout the whole ML lifecycle.

We care deeply about collaboration, feedback, and iteration. Trust and respect are deeply rooted in our engineering culture. We're bold when it comes to shipping high-leverage projects, even if they're risky or novel. We hope you'll join us!

• You will design, build, test and maintain scalable and reliable infrastructure that supports machine learning workflows from training to serving ML models
• You will collaborate with cross-functional teams to understand their requirements and develop solutions that meet their needs
• You will provide technical leadership and guidance to engineers and multi-functional partners
• You will identify and lead strategic initiatives that streamline ML Operations (MLOps), optimize platform performance, and improve system health

• Strong communication skills and ability to work effectively in a collaborative team environment
• Experience with ML infrastructure
• Familiarity with relevant technology stacks a plus (ie. AWS, Kubernetes, Docker, Kubeflow, Ray, Tensorflow, PyTorch)
• Highly skilled at developing and debugging in C/C++, Java, or Go, with knowledge of Python a plus
• Extensive experience building and owning large-scale, multi-threaded, geographically distributed backend systems
• 8+ years of professional software development experience
• BS, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience

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 $206,600 - $243,000 - $279,500.

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 $185,900 - $218,700 - $251,500.

For candidates hired in all other US locations, the expected salary/On-Target Earnings (OTE) range for this role is currently $165,200 - $194,400 - $223,600.

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).

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).