Senior Machine Learning Software Engineer, Dropbox
Search
CA$193-261k
+ Restricted Stock Units (RSUs) + corporate bonus program
Smart workspace company
Job no longer available
Smart workspace company
1001+ employees
Job no longer available
CA$193-261k
+ Restricted Stock Units (RSUs) + corporate bonus program
1001+ employees
Company mission
Dropbox's mission is to design a more enlightened way of working.
Role
Who you are
- BS, MS, or PhD in Computer Science or related technical field involving Machine Learning, or equivalent technical experience
- 8+ 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
What the job involves
- As a Senior 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
- 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 quality 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
Our take
Dropbox started by helping people bring together their files in one central place. The contents of these folders are synchronised to Dropbox's servers along with other computers and devices where the user has installed Dropbox, keeping the same files up-to-date across all devices.
Nowadays, there are lots of competing companies in cloud storage, and some with better distribution (e.g. Google and Apple). This explains why Dropbox is making a big push to reinvent itself after a fairly disappointing run since its IPO in 2018. The new Dropbox turns folders into "Spaces", which are collaboration hubs for teams, complete with comment streams, artificial intelligence tools and integrations into services such as Slack.
The company continues to build out its offerings through acquisitions, such as that of Formswift, bolstering its end-to-end agreement workflow capabilities. Indeed, It's very clear that Dropbox is trying to make a big move from being just a storage company. This seems to be a necessary move given the competitive nature of the industry it is operating within.
Freddie
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2014
$350m
SERIES C
Oct 2011
$250m
SERIES B
Total funding: $607.4m
Company benefits
- Medical, dental, and vision coverage
- We offer a generous company contribution toward individual medical, dental, and vision insurance coverage, including contributions toward dependent premiums
- Keep sharing and collaborating with friends and family even when you’re not at work with free Dropbox space for your whole crew
- Take the vacation you’ve always dreamed of with up to four consecutive weeks of paid time off
- Celebrate common holidays without your paycheck taking the hit with 11 company paid holidays
- Each Dropboxer has access to 32 hours of paid volunteer time off each year that they can use to support the causes close to their hearts
- We regularly offer panels and seminars featuring the best minds in tech, talent, diversity, and beyond that any Dropboxer can attend from the comfort of their home
- No two Dropboxers are the same, and their benefits shouldn’t be either. Our Perks allowance empowers employees to customize their benefits in line with what really matters to them
Company HQ
Mission Bay, San Francisco, CA
Leadership
Arash Ferdowsi
(Co-Founder)Studied Computer Science at MIT before founding Dropbox straight out of university
Drew Houston
(Co-Founder & CEO)Studied Computer Science at MIT before founding Dropbox straight out of university
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