Machine Learning Engineer, Search

Key Skills

Aartificial intelligence, Elasticsearch, ETL frameworks, Machine learning techniques, Python Programming

Job 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 Leaning 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.

Please note, Dropbox is currently only authorized to hire candidates from the following provinces: Alberta, British Columbia, Ontario, and Saskatchewan.

Responsibilities

• 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.

Requirements

• 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

$183,600—$248,400 USD

US Zone 3

$163,200—$220,800 USD

The range(s) listed above is the expected annual salary/OTE for this role, subject to change.

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).

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 DC metro, and West Virginia (DC metro)
• US Zone 3: All other US locations

Dropbox is a Virtual First company and is open to hiring candidates in all authorized locations. However, for this role, the locations posted are preferred.

Benefits

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, 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