Dropbox
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San Francisco, CA
Remote

Senior Machine Learning Software Engineer, New Initiatives

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Employer Provided Salary: $174,100-$294,400 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.

Role Description

Dropbox is looking for a Senior Machine Learning Engineer. A Machine Learning engineer develops models, systems and features that leverage the massive scale of Dropbox’s user base to understand and predict user behavior to optimize the experience at all stages of the user journey at Dropbox. Relevant experience can range from working on a wide-variety of optimization, and classification problems, e.g. segmentation, propensity modeling, text/sentiment classification, click-through rate prediction, collaborative filtering/recommendation, or spam detection.

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
  • 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

  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
  • 8+ years of engineering experience with 3+ years building Machine Learning or AI systems
  • Strong industry experience working with large scale data
  • Strong analytical and problem-solving skills
  • 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., Scikit-learn, TensorFlow, Keras, PyTorch, 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, 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

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.

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.

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.

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).

Current Salary/OTE Ranges (Subject to change):
• US Zone 1: $217,600 - $256,000 - $294,400.
• US Zone 2: $195,800 - $230,400 - $265,000.
• US Zone 3: $174,100 - $204,800 - $235,500.
 
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 (outside Seattle metro) and Washington DC metro
• US Zone 3: All other US locations

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What are Dropbox Perks + Benefits

Dropbox Benefits Overview

We’re proud to offer benefits that help all Dropboxers take care of their holistic selves, so they can keep flowing at work.

Culture
Volunteer in local community
Partners with nonprofits
Open door policy
OKR operational model
Team based strategic planning
Pair programming
Employee resource groups
Employee-led culture committees
Flexible work schedule
Remote work program
Diversity
Documented equal pay policy
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity manifesto
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Wellness programs
Team workouts
Mental health benefits
Financial & Retirement
401(K)
401(K) matching
Company equity
Performance bonus
Charitable contribution matching
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Restricted work hours
Return-to-work program post parental leave
Vacation & Time Off Benefits
Unlimited vacation policy
Generous PTO
Paid volunteer time
Sabbatical
At Dropbox, this is called 'Recharge'
Paid holidays
Office Perks
Company-sponsored outings
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Recreational clubs
Relocation assistance
Fitness stipend
Home-office stipend for remote employees
Professional Development Benefits
Job training & conferences
Tuition reimbursement
Lunch and learns
Promote from within
Mentorship program
Continuing education stipend
Continuing education available during work hours
Online course subscriptions available
Customized development tracks

Additional Perks + Benefits

In order to be successful in our Virtual First environment we needed to make changes that would allow employees to have more control over both where and how they work. Therefore, we embrace “non-linear workdays” with defined core collaboration hours that overlap across time zones. Beyond that, we encourage employees to design their own schedules to balance collaboration with needs for individual focus. We’ve also moved from “all day syncs” to an “async by default” culture, reserving meetings for discussion, debate, and decision-making, and handling all other work in our deep focus hours.

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