Dropbox is a Virtual First company. For this role, we are currently only authorized to hire candidates from the following provinces: Alberta, British Columbia, Ontario, and Saskatchewan. 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 Senior Machine Learning Engineer focused on search quality, you will play a crucial role in developing and enhancing our search capabilities to provide users with the best possible search experience. You will work on designing, coding, training, testing, deploying, and iterating on large-scale machine learning systems that drive the core functionalities of Dropbox Dash’s search features Collaborating closely with cross-functional teams, you'll leverage your ML expertise to tackle audacious challenges. Your contributions will directly impact millions of users, as every line of code you write furthers our mission to revolutionize the way people work and collaborate. 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. Responsibilities Design, build, evaluate, deploy and iterate on large scale Machine Learning systemsUnderstand the Machine Learning stack at Dropbox, and build systems that help Dropbox personalize their users’ experienceWork with Product, Design, Infrastructure and Frontend teams to bring your models, and features to lifeWork with large scale data systems, and infrastructureEvaluate the performance of machine learning systems against business objectives, and productionize those modelsContribute to team’s technical strategy for the end-to-end machine learning lifecycle, ensuring alignment with business objectives and driving impactful outcomes 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. Requirements BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience8+ years of experience in engineering with 5+ years of experience building Machine Learning or AI systemsStrong industry experience working with large scale dataStrong collaboration, analytical and problem-solving skillsFamiliarity with the state-of-the-art Large Language Models Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C++Experience with Machine Learning software tools and libraries (e.g., PyTorch, HuggingFace, LangChain, TensorFlow, Keras, Scikit-learn, etc.) Preferred Qualifications hD in Computer Science or related field with research in machine learningExperience with one or more of the following: natural language processing, deep learning, bayesian reasoning, recommender systems, learning to rank, speech processing, learning from semistructured data, graph learning, reinforcement or active learning, large language models, ML software systems, retrieval-augmented generation, machine learning on edge devices Total RewardsCanada Pay Range$193,000—$261,000 CAD The range listed above is the expected annual salary/OTE for this role, subject to change. 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). 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** Flexible PTO/Paid Time Off policy in addition to statutory holidays, allowing you time to unplug, unwind, and refresh Income Protection Plans: Life and disability insurance* Business Travel Protection: Travel medical and accident insurance* 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 Mental health and wellness benefits Additional benefits details are available upon request. *Where group plans are not available, allowances may be 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).