Machine Learning Engineer, Dash

Company Description

Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself—Dropbox is ready for you.

Team Description

The Dropbox Engineering Team builds the technology that creates more enlightened ways of working for hundreds of millions of people. Every day, our platforms—including Dropbox Dash, Dropbox Sign, and our core sync engine—handle over a billion files for users worldwide, creating engineering challenges as great as the opportunity for impact. Our software engineering team uses a range of technologies to solve interesting problems, including Python, React, Node.js, JavaScript, MongoDB, PostgreSQL, and Android development. We think like a startup but build for an enterprise, exploring new possibilities that transform how people work. If you're excited about turning complex technical challenges into intuitive solutions at scale, join our Engineering team. Areas of work include Machine Learning Engineers, Infrastructure Engineer, Product SWE Frontend and Backend, Mobile Software Engineers (iOS and Android), Engineering Manager, Data Engineer, Software Development Engineer in Test, Security Engineering, Site Reliability Engineer, Technical Program Managers, Network Engineer, Datacenter Engineer, Technical Supply Chain Manager and more.

Role Description

As a Machine Learning Engineer on our Multimedia AI team, you will be involved in shaping the future direction of Dropbox Dash and pushing the boundaries on what the world thinks is possible by leveraging the latest advancements in AI/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. 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

Work with large scale data systems, and infrastructure
Help productionize multimodal and semantic retrieval systems at scale, powering Dash’s multimedia and creative search experiences.
Partner with product, design, and infrastructure teams to improve retrieval, ranking, and conversational experiences across image, video, and text content.
Build and iterate on quick prototypes and experimental features, driving innovation in multimodal interaction and creative workflows.
Run quality and performance benchmarks across individual components and end-to-end systems to identify optimization opportunities.
Contribute to open source projects and leverage OSS tools for efficient inference and scaling.
On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements

BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
5+ years of experience in engineering with 3+ years of experience building Machine Learning or AI systems
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, TensorFlow, Keras, Scikit-learn, etc.)
Familiarity with search-related applications of Large Language Models
Proven experience in machine learning, multimodal AI, or search and ranking systems.
Familiarity with semantic search, embeddings, vector retrieval, and optimizing ranking metrics such as nDCG or MRR.
Experience running quality and performance benchmarks across components and end-to-end pipelines in large-scale machine learning and retrieval systems to identify and drive optimizations.

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, bayesian reasoning, recommender systems, learning to rank, speech processing, learning from semi-structured data, graph learning, reinforcement or active learning, large language models, ML software systems, retrieval-augmented generation, machine learning on edge devices
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

Germany Pay Range

€118,200—€159,900 EUR

The range listed above is the expected annual salary/OTE (On-Target Earnings) for this role, subject to change.

Please note, OTE are for sales roles only.

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 a Virtual First company and is open to hiring candidates in all authorized locations.

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, paid holidays, Volunteer Time Off, and more, 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 and 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

Additional Information

Dropbox supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted. See our AI philosophy.

Equal Opportunity Statement

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, enABLE, TODOS (Latinx), Pridebox (LGBTQ), Vets at Dropbox, and Women at Dropbox.

Other Notes

Referrals increase your chances of interviewing at Dropbox by 2x.

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Machine Learning Engineer, Dash

Machine Learning Engineer, Dash

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