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

　　As a Staff Machine Leaning Engineer for this new division, you will be able to drive the future direction of a new initiative and push the boundaries on what the world thinks is possible by leveraging the latest advancements in ML. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the product org to create and build delightful new experiences.

　　As a ground floor opportunity for this startup team, we need this staff engineer to build a top-tier truth-seeking culture with a lot of focus on impact and execution!

　　Responsibilities

　　You will serve as the ML thought leader to adopt and get ahead in the fast evolving landscape of MLYou will design, build, evaluate, deploy and iterate on machine learning models with thousands to billions of parameters (or more!)You will push the limits of whats considered possible at scale and generate gains by leveraging the latest development in AIYou will work across teams and functions to bring your models, and features not considered possible before to life

　　Requirements

　　BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience10+ years of engineering experience with 6+ years building Machine Learning or AI systemsExperience working in a start-up or in a start-up like environmentStrong industry experience working with large scale data systemsStrong analytical and problem-solving skillsFamiliarity with the latest development in LLMsProven software engineering skills across multiple languages including but not limited to PythonExperience with Machine Learning software tools and libraries (e.g. TF, PyTorch, HuggingFace, LangChain etc.)

　　Preferred Qualifications

　　PhD in Computer Science or related field with research in machine learningExperience building 0→1 ML products at large (dropbox-level) scale or multiple 0→1 products at smaller scale including experience with large-scale product systemsExperience with one or more of the following: Recommendation Systems, Search, Large Language Models (LLMs)

　　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

　　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.

　　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. We target most new hire offers between the minimum up to the middle of the range.

　　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).

　　Current Salary/OTE Ranges (Subject to change):

　　• US Zone 1: $240,600 - $283,000 - $325,500.

　　• US Zone 2: $216,500 - $254,700 - $292,900.

　　• US Zone 3: $192,400 - $226,400 - $260,400.

　　Dropbox uses the zip code of an employee's remote work location to determine which metropolitan pay range we use. Current US Zone locations are as follows:

　　• US Zone 1: San Francisco metro, New York City metro, or Seattle metro

　　• US Zone 2: 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

　　• US Zone 3: All other US locations

　　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).