Senior Machine Learning Engineer, Dash - Ranking and Recommendations

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
Professional working experience in ML modeling for at least one of the following: Recommender Systems, Search, or Ranking
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 US Zone 1 $236,300?$319,700 USD US Zone 2 $212,700?$287,700 USD US Zone 3 $189,000?$255,800 USD

The range(s) 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 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.

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 DC metro, and West Virginia (DC metro)
? US Zone 3: All other US locations

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

401(k) plan with a generous company match and immediate vesting

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, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support

Access to over 10,000 global co-working spaces through Gable.to , making it easy to book flexible workspaces for collaboration or individual work

Quarterly Cell phone and internet allowance

Mental health and wellness benefits

Disability and neurodivergence support benefits

Additional benefit details are available upon request.

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.

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