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.
StackAdapt
Remote developer position at StackAdapt, specializing in multi-channel advertising solutions, with focus on Ruby on Rails and full-stack technologies.
Binance
Senior Auto QA Engineer (Java) at Binance: Develop high-quality products, prevent defects, and collaborate with a global team.
Nearform
Senior Data Engineer position at NearForm, Poland, focusing on cloud-based data pipelines and data warehousing solutions.
Trafilea
Oversee financial activities including investor relations, banking partnerships, and corporate governance; ensure compliance and drive financial strategy for company growth.
Binance
Senior Java Engineer for trading tech team at Binance, designing scalable systems, collaborating with teams, and maintaining documentation.
StackAdapt
Join StackAdapt's backend engineering team as a Senior/Staff Data Engineer and contribute to building scalable data pipelines and systems.
StackAdapt
Join StackAdapt's backend engineering team as a Senior/Staff Data Engineer and contribute to building scalable data pipelines and services.
InDebted
Join InDebted as an Integration Engineer to lead technical teams, develop integrations in Golang and Python, and leverage AWS for cloud solutions. Enjoy remote flexibility and comprehensive benefits while contributing to impactful work in the debt resolution space.
Kraken
Join Kraken's Institutional and VIP Relationship Management team as a remote sales professional, building relationships with high net worth clients and driving business growth in the UK region.
Join Reddit's New Ad Formats team as an Android engineer and contribute to innovative ad solutions using Kotlin, Jetpack Compose, and more.
Join Reddit's New Ad Formats team as a skilled Android engineer, collaborate with cross-functional teams, and contribute to innovative ad solutions that delight advertisers.
Welocalize
Irish Gaelic Linguist & Translator Internship at Welocalize - Gain hands-on experience in translation, localization, and linguistic research.
Grafana Labs
Enhance Grafana's IRM solutions by developing backend features using Golang or Python, collaborating with cross-functional teams, and contributing to a remote-first culture. Enjoy benefits including equity and bonuses while working on cutting-edge technologies.
OneSignal
Join OneSignal as a Backend Engineer and work on high-impact features, design scalable systems, lead projects, and contribute to our engineering culture. Utilize Rust/Golang and modern technologies while enjoying competitive compensation and benefits.
Binance
Senior QA Engineer (Trading Tech) at Binance: Design & execute tests for high-performance backend software stack.
Upwork
Senior/Lead Kubernetes Engineer for Platform Engineering Team at Upwork
Consensys
Develop innovative features for MetaMask Card and integrate crypto with traditional payment systems.
Lime
Executive Assistant to support CLO and CFO, coordinate Board of Directors meetings, and manage executive calendars.
Social Discovery Group
Join Social Discovery Group as a Manual QA Engineer to ensure high-quality products through rigorous testing processes. Enjoy remote work flexibility, generous benefits, and professional growth opportunities.
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
