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Machine Learning Engineer, Search

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Employer Provided Salary: 204,000-276,000 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.

Role Description

At Dropbox, our pursuit of excellence in Machine Learning and Artificial Intelligence fuels our mission to empower users worldwide. We've cultivated a culture rooted in meticulous attention to detail, unwavering commitment to reliability, and a drive to innovate at scale.

As a Machine Learning Engineer focused on search quality you will play a crucial role in developing and enhancing our search capabilities to provide users with the best possible search experience. You will work on designing, coding, training, testing, deploying, and iterating on large-scale machine learning systems that drive the core functionalities of Dropbox Dash’s search features.

Collaborating closely with cross-functional teams, you'll leverage your ML expertise to tackle audacious challenges. Your contributions will directly impact millions of users, as every line of code you write furthers our mission to revolutionize the way people work and collaborate.

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.


  • You will work within the 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
  • Develop and maintain production-quality code for serving machine learning models at scale
  • Design online and offline ML experiments, perform data analysis, and explore feature quality for ML models
  • Communicate technical trade-offs to multidisciplinary stakeholders, including product managers, software developers, and business leaders
  • Proactively explore and integrate the latest advancements in Machine 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.


  • BS, MS, or PhD in Computer Science or related technical field involving Machine Learning, or equivalent technical experience
  • 5+ years of experience building production search or recommendation machine learning systems
  • Proven software engineering skills across multiple languages including but not limited to Python and Go
  • Familiarity with scalable search systems (e.g. ElasticSearch, OpenSearch, Lucene) and information retrieval algorithms (e.g. TF-IDF, BM25, Learning to Rank)
  • Experience with machine learning software packages (e.g., scikit-learn, TensorFlow, PyTorch), and related libraries (numpy, pandas)
  • Experience designing high-impact features for search or recommendation systems and developing, supporting, and debugging feature generation ETL pipelines
  • Strong analytical, problem-solving, and communication skills

Total Rewards

US Zone 1

$204,000$276,000 USD

US Zone 2

$183,500$248,400 USD

US Zone 3

$163,000$220,800 USD

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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.

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
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
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) matching
Company equity
Performance bonus
Charitable contribution matching
Child Care & Parental Leave
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Restricted work hours
Return-to-work program post parental leave
Vacation + Time Off
Unlimited vacation policy
Generous PTO
Paid volunteer time
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
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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