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San Francisco, CA

Machine Learning Engineering Manager - Location Flexible at Dropbox (San Francisco, CA or Remote)

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Role Description
The Machine Learning - Go to Market team builds & applies ML models to drive Dropbox Wide Growth initiatives, leveraging a high fidelity understanding of users, content, and context, and support go-to-market strategy. This software engineering team sits within ‘Growth and Data’ organization, which seeks to leverage data to help make better business decisions. The team partners with Growth and Product teams to develop 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. The team’s work on revenue impact has been often highlighted in Dropbox quarterly earning calls.
We're looking for a Machine Learning, Engineering Manager, who will build and lead a team of ML engineers to partner with growth, revenue, and product teams to answer key questions about how to grow revenue & scale the business via enabling better understanding of users through segmentation efforts. You’ll work alongside data science, product, engineering, design, marketing and research executives to advise on the company’s most impactful quantitative projects and achieve its most strategic business goal. You will work on process and infrastructural improvements to improve scalability and turnaround times. Our team culture rewards a bias for action, engineering partnership in defining the product, and discipline in how we develop. You’ll thrive in our team if you love chasing impact, working through ambiguity, and developing a culture of innovation.
To do this, you’ll align your teams’ roadmap to business objectives, and communicate insights & impact broadly across multiple leadership teams. You’ll also have the unique opportunity to influence growth teams through crafting strategies like personalization, upsell & cross sells. This role is highly strategic and uniquely is positioned to drive multiplier impacts for Dropbox as we continue to innovate and expand our core products. At the same time, you will get to lead an amazing team of talented ML engineers to shape the future of our business. 
  • Grow and develop an incredible team of hardworking and motivated ML engineers with high expectations around individual ownership and impact
  • Understand the ML stack at Dropbox, and build systems that help Dropbox personalize their users’ experience
  • Lead the team to design, build, evaluate, deploy and iterate on large scale Machine Learning systems
  • Set direction for the team, anticipate strategic and scaling-related challenges via thoughtful long-term planning
  • Help with crafting technical & product strategy and work with cross functional teams (product, data science, growth, infra, etc.) to bring your models & features to life
  • Ensure your team delivers extraordinary output, and continuously seeks ways to make an outsized impact
  • Build production grade propensity models to drive personalization strategies, by utilizing advanced statistical modeling, machine learning, or data mining techniques
  • Evaluate the performance of machine learning systems against business objectives
  • Work with large scale data systems, and infrastructure
  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
  • 5+ years of experience building Machine Learning or AI systems
  • 2+ years of people management experience with an engineering team
  • ML domain knowledge to set and execute technical strategy (in partnership with the TL)
  • 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.)
  • 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.
  • Excellent verbal and written communication skills
  • Understand what matters most and prioritize ruthlessly

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Candidate Location Eligibility:
Atlanta, GA
Austin, TX
Boston, MA
Charlotte, NC
Chicago, IL
Colorado, CO
Dallas-Fort Worth, TX
Des Moines, IA
Detroit, MI
Indianapolis, IN
Kansas City, MO
Las Vegas, NV
Los Angeles, CA
Madison, WI
Miami, FL
Milwaukee, WI
Minneapolis–Saint Paul, MN
Nashville, TN
Philadelphia, PA
Phoenix – Mesa – Scottsdale, AZ
Pittsburgh, PA
Portland, OR
Raleigh-Durham, NC
Salt Lake City, UT
Tampa Bay, FL
Washington DC

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.

Volunteer in local community
Partners with Nonprofits
Friends outside of work
Eat lunch together
Intracompany committees
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Documented equal pay policy
Dedicated Diversity/Inclusion Staff
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 Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Team workouts
Mental Health Benefits
Retirement & Stock Options Benefits
401(K) Matching
Company Equity
Performance Bonus
Match charitable contributions
Child Care & Parental Leave Benefits
Child Care Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Family Medical Leave
Adoption Assistance
Restricted work hours
Return-to-work program post parental leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
In addition to our Unlimited Vacation Policy, Dropbox also has one companywide PTO day a month
Paid Volunteer Time
At Dropbox, this is called 'Recharge'
Paid Holidays
Perks & Discounts
Beer on Tap
Casual Dress
Company Outings
Stocked Kitchen
Some Meals Provided
Happy Hours
Recreational Clubs
Relocation Assistance
Fitness Subsidies
Home Office Stipend for Remote Employees
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Diversity Program
Lunch and learns
Cross functional training encouraged
Promote from within
Mentorship program
Continuing Education stipend
Time allotted for learning
Online course subscriptions available
Customized development tracks

Additional Perks + Benefits

We began a new 'Perks Allowance' in 2021 when we went Virtual First. Dropboxers are provided a generous individual allowance to spend on what perks really matter to them while at home- whether that's wellness, caregiver support, productivity, ergonomics, learning, food services, afterschool programs for kids, or something else! Read more here: https://bit.ly/3uM0gG3

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