Role Description
Responsibilities
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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
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Work with Product, Design, Infra and Frontend teams to bring your models, and features to life
- Work with large scale data systems, and infrastructure
- Evaluate the performance of machine learning systems against business objectives
Requirements
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BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
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- Strong industry experience working with large scale data
- Strong analytical and problem-solving skills
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Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C++
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Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)
Preferred Qualifications
- PhD in Computer Science or related field with research in machine learning
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Experience with one or more of the following: natural language processing, deep learning, bayesian reasoning, recommendation systems, learning for search, speech processing, learning from semistructured data, graph learning, reinforcement or active learning, ML software systems, machine learning on mobile devices
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.
For candidates hired in Colorado, the expected salary/On-Target Earnings (OTE) range for the role is $168,000 - $197,600 - $227,200.
This salary/OTE range represents the low, middle, and high end of the salary or OTE (Sales roles) range for this position, and is subject to change. To determine a Dropboxer’s starting pay we carefully consider a variety of factors, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal parity. This position may be considered a promotional opportunity.
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 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
- (US Only) Competitive 401(k) Plan with a generous company match and immediate vesting
- Flexible Time Off/Paid Time Off, paid holidays, 11 Company-wide PTO days, Volunteer time off and more
- Protection Plans including; Life Insurance, Disability Insurance and Travel benefit plans
- 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, Child and Adult Care, Day Care FSA (US Only), Fertility Benefits (US Only), Adoption and Surrogacy support and Lactation Support
- Mental Health and Wellness benefits
- Free Dropbox space for your friends and family
Additional benefits details are available upon request.
Dropbox is in the process of updating our technology to provide pay ranges in New York City based on the recent amendments to the New York City Human Rights Law (NYCHRL). If you are based in NYC and have any questions about the pay range for this role, please contact paytransparency@ and provide your name and the job title to which you are interested in applying.
