Dropbox

San Francisco

1,001-5,000 employees

Dropbox is one place to keep life organized and keep work moving.

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Staff Machine Learning Software Engineer

Dropbox

Staff Machine Learning Software Engineer

ML Engineering

This job is no longer open

Role Description

Machine Learning (ML) engineers at Dropbox's develop high impact products that advances the mission of Dropbox of designing a more enlightened way of working. Dropbox ML engineers deliver products using the full range of ML techniques including computer vision, natural language processing, recommendation systems and more. While some of our algorithms run on mobile devices, others require large clusters on our infrastructure.

Dropbox is looking for Staff Machine Learning Engineers with an academic or practical background in machine learning, ideally with experience in and familiar with state of the art in natural language understanding, information retrieval and recommendation systems.

As a Staff ML Engineer, you set direction for an area of ML and also execute on it. You deliver on multi-year and multi-team goals by collaborating with relevant product and infrastructure engineering teams.

Responsibilities

You will work within a machine learning team to design, code, train, test, deploy and iterate on large scale machine learning systems
You will build delightful products and experiences, while working alongside an excellent, multi-functional team across Engineering, Product and Design
You will help craft the direction of machine learning and artificial intelligence at Dropbox

Requirements

MS or PhD in Computer Science or related technical field involving Machine Learning, or equivalent technical experience
4+ years of experience building production machine learning systems
6+ years of experience building production engineering systerms
Strong analytical and problem-solving skills
Proven software engineering skills across multiple languages including but not limited to Python
Experience with machine learning software packages (e.g., scikit-learn, TensorFlow, Keras, PyTorch)

Desired Qualifications:

PhD in Computer Science or related field with research in machine learning
Experience with one or more of the following: natural language processing, recommendation systems, machine learning for information retrieval, 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 $183,600 - $216,000 - $248,400.

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.

This job is no longer open