Dropbox
Design and deploy large-scale machine learning systems at Dropbox to enhance user collaboration and organization. Work with cross-functional teams to integrate AI/ML advancements into products, utilizing tools like PyTorch and Scikit-learn.
Lime
Data Platform Engineer at Lime: build scalable platforms, lead new product initiatives, and mentor other engineers in a fast-growing company with competitive salaries and benefits.
StackAdapt
Design and develop scalable distributed systems for StackAdapt's advertising platform using GoLang and Ruby on Rails. Collaborate with cross-functional teams to optimize performance and build modern web applications.
Vercel
Design and maintain tooling for the Customer Success Engineering team at Vercel. Collaborate with peers, integrate new technologies, and ensure data integrity while supporting customer success through engineering solutions.
Binance
Join Binance's Margin Technology team as a Java Engineer and contribute to developing new applications for margin trading.
Lumenalta
Data Engineer role at Lumenalta, building exceptional software solutions
Orum
Senior Full Stack Software Engineer at Orum - Build impactful features with our tech stack & contribute to innovative product development
Orum
Senior Full Stack Software Engineer at Orum: Collaborate on impactful user experiences with NodeJS, Typescript, React, and Google Cloud Platform.
Wealthsimple
Join Wealthsimple as an Application Security Engineer and help secure our applications with your expertise in tooling, architecture, and offensive security testing. Collaborate with teams to mitigate risks and enhance security practices while enjoying top-tier benefits and a supportive remote-first culture.
Binance
Senior DevOps Engineer at Binance: Design cloud-based micro-service infrastructure, automate operational activities, and provide on-call support.
Binance
Senior QA Engineer - Performance/Chaos for Binance, leading global blockchain ecosystem
Dropbox
Enhance the Dropbox Android app by leading feature development, mentoring team members, and ensuring top-notch engineering practices.
Dropbox
Enhance the Android experience at Dropbox by leading feature development, solving complex problems, and mentoring a team of engineers.
High-impact software developer for Reddit Pro team, working on technical & product strategy, building novel products and features, and contributing to the full development cycle.
Binance
Senior Automation QA Engineer (Python) needed for integration testing of high-performance backend software stack
Red Canary
Join Red Canary as a Rails engineer to build scalable applications and deliver unmatched threat detection and response.
Olo
Senior Software Engineer at Olo: Design scalable components, collaborate with stakeholders, and create innovative AI solutions.
Binance
Senior Backend Engineer - Java at Binance: Develop crypto products & infrastructure, collaborate with junior engineers & drive innovation.
Binance
Senior QA Engineer at Binance: Design & develop test cases, automate testing, collaborate with global teams
Appsilon
Join Appsilon as an R/Shiny Developer to design innovative solutions for global clients using cutting-edge technologies. Enjoy remote flexibility, comprehensive benefits, and opportunities to work with top brands while advancing your skills in data science and software development.
Dropbox
As a Senior Machine Learning Engineer at Dropbox, you will leverage cutting-edge AI/ML technologies to design, build, deploy, and refine large-scale machine learning systems. Your work will power features like universal AI search and AI-assisted organization in Dropbox Dash, enhancing how millions of users collaborate and stay organized. You'll collaborate with Product, Design, Infrastructure, and Frontend teams, contribute to the technical strategy for the end-to-end ML lifecycle, and explore advancements in Search, LLMs, Recommender Systems, etc. The role requires a BS/MS/PhD in Computer Science or related field, 8+ years of engineering experience with 5+ years in ML/AI systems, strong software engineering skills in Python, Go, C/C++, and familiarity with ML libraries like PyTorch.
As a Senior Machine Learning Engineer, you will play a key role in advancing Dropbox’s mission to create a more enlightened way of working. Leveraging cutting-edge AI/ML technologies, you will design, build, deploy, and refine large-scale machine learning systems. Your work will power Dropbox Dash’s universal AI search and AI-assisted organization features, transforming how millions of Dropbox users collaborate, stay organized, and focus on the work that truly matters.
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.
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. Develop and maintain production-quality code for serving machine learning models at scale
Work with Product, Design, Infrastructure and Frontend teams to bring your models, and features to life
Contribute to team’s technical strategy for the end-to-end machine learning lifecycle, ensuring alignment with business objectives and driving impactful outcomes
Explore and integrate the latest advancements in Search, LLMs, Recommender Systems, and Representation 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, 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
Professional working experience in ML modeling for at least one of the following: Recommender Systems, Search, or Ranking
Strong industry experience working with large scale data
Strong collaboration, analytical and problem-solving skills
Familiarity with the state-of-the-art in 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, Scikit-learn, numpy, pandas, etc.)
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, Recommender Systems, Learning to Rank, Speech Processing, Learning from Semi-structured Data, Graph Learning, Large Language Models, and Retrieval-Augmented Generation
Experience building 0→1 ML products at large (Dropbox-level) scale or multiple 0→1 products at smaller scale including experience with large-scale product systems
