Senior Machine Learning Software Engineer, Dropbox
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$180.2-304.8k
+ Eligible for the corporate bonus program or a sales incentive + RSU's, Salary dependent on location
Smart workspace company
Job no longer available
Smart workspace company
1001+ employees
Job no longer available
$180.2-304.8k
+ Eligible for the corporate bonus program or a sales incentive + RSU's, Salary dependent on location
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, Mathematics, Statistics, or other quantitative fields or related work experience
- 8+ years of experience in engineering with 5+ years of experience building Machine Learning or AI systems
- Strong industry experience working with large scale data
- Strong collaboration, analytical and problem-solving skills
- Familiarity with the state-of-the-art Large Language Models
- 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., PyTorch, HuggingFace, LangChain, TensorFlow, Keras, Scikit-learn, etc.)
Desirable
- 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, recommender systems, learning to rank, speech processing, learning from semistructured data, graph learning, reinforcement or active learning, large language models, ML software systems, retrieval-augmented generation, machine learning on edge devices
What the job involves
- As a Senior Machine Leaning Engineer, you will be involved in shaping the future direction of the organization and pushing the boundaries on what the world thinks is possible by leveraging the latest advancements in AI/ML
- You will join a team of top-tier Machine Learning Engineers and be an inherent part of the product org to create and build delightful new experiences
- 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
- 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, Infrastructure 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, and productionize those models
- Contribute to team’s technical strategy for the end-to-end machine learning lifecycle, ensuring alignment with business objectives and driving impactful outcomes
- 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
- Start building a successful 401K retirement plan with our dollar for dollar contribution match, up to $1,500 per quarter to a maximum of $6,000 per calendar year
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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