Senior Machine Learning Engineer, Dash
Dropbox
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, you will play a key role in advancing Dropbox’s mission to create a more enlightened way of working. Leveraging cutting-edge AI/ML technologies, you will design, build, deploy, and refine large-scale machine learning systems. Your work will power Dropbox Dash’s universal AI search and AI-assisted organization features, transforming how millions of Dropbox users collaborate, stay organized, and focus on the work that truly matters.
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 systems
- Understand the Machine Learning stack at Dropbox, and build systems that help Dropbox personalize their users’ experience. Develop and maintain production-quality code for serving machine learning models at scale
- Work with Product, Design, Infrastructure and Frontend teams to bring your models, and features to life
- Contribute to team’s technical strategy for the end-to-end machine learning lifecycle, ensuring alignment with business objectives and driving impactful outcomes
- Explore and integrate the latest advancements in Search, LLMs, Recommender Systems, and Representation Learning into Dropbox's products
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 experience
- 8+ years of experience in engineering with 5+ years of experience building Machine Learning or AI systems
- Strong industry experience working with large scale data
- Strong collaboration, analytical and problem-solving skills
- Familiarity with the state-of-the-art in 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, Scikit-learn, numpy, pandas, etc.)
Preferred Qualifications
- PhD in Computer Science or related field with research in machine learning
- Experience with one or more of the following: Natural Language Processing, Deep Learning, Recommender Systems, Learning to Rank, Speech Processing, Learning from Semi-structured Data, Graph Learning, Large Language Models, and Retrieval-Augmented Generation
- Experience building 0→1 ML products at large (Dropbox-level) scale or multiple 0→1 products at smaller scale including experience with large-scale product systems
Compensation
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