Dropbox
Design and deploy machine learning systems for AI search and organization features at Dropbox, collaborating across teams to drive impactful outcomes.
Nethermind
Senior Recruiter for Web3 & AI talent acquisition with expertise in blockchain, AI, and technical recruitment.
Signifyd
Senior Data Scientist at Signifyd: build production ML models, collaborate with engineering teams, and improve e-commerce shopping experience.
Voodoo
Design and implement high-quality visual effects for mobile games using Unity and Photoshop. Collaborate with art and dev teams to ensure VFX aligns with artistic direction and technical requirements. Utilize tools like Maya, Blender, or Houdini and write optimized shaders for performance-efficient effects.
CXG
Senior Instructional Designer for CXG LEARN, creating immersive training content for luxury retail clients
Mozilla
Senior Account Executive at Mozilla Corporation - $171k-$247k/year
Cryptio
Join Cryptio as a salesperson and help institutional adoption in crypto with flexible remote work options and competitive benefits.
ClassDojo
Senior Account Executive at ClassDojo: drive sales growth in K-12 education space with expertise in district sales, product knowledge, and negotiation skills.
Cobalt
Senior Account Executive - Sell Pentesting & Offensive Security services to UK customers & prospects, develop upsell/cross-sell strategies, and drive sales growth.
Vonage
Alliance Marketing Manager at Vonage: Develop and execute marketing strategies for Alliances, ISVs, and SIs, creating value propositions and messaging, and driving business growth through events and campaigns.
CaptivateIQ
Lead and mentor a team of Account Executives at CaptivateIQ, driving sales growth and optimizing processes with competitive benefits and a supportive environment.
Massive Rocket
Harmonize customer data, manage event data with Lambda functions, and optimize customer engagement strategies using Braze at Massive Rocket.
Kueski
Crear documentación clara y fácil de usar para clientes internos y externos en Kueski
Grafana Labs
Senior Technical Writer for Grafana Labs producing high-quality documentation and guides for enterprise software
Grafana Labs
Senior Technical Writer for Grafana Labs, creating high-quality documentation and guides for enterprise software, collaborating remotely, and working independently.
Grafana Labs
Senior Technical Writer for Grafana Labs producing high-quality documentation and guides for enterprise software
Aircall
Senior Software Engineer at Aircall: Design & develop business-critical features with Ruby, Typescript, NodeJS, and AWS
Gitlab
Oversee Professional Services delivery in APJ, manage partner relationships, ensure project success, and maintain consistent delivery standards at GitLab. Enjoy remote work, flexible benefits, and growth opportunities.
brightwheel
Join Brightwheel as a Senior Data Analyst to leverage data insights for business growth. Work with cross-functional teams, build analytical solutions, and contribute to the company's mission of enabling high-quality early education. Competitive salary and benefits package included.
Binance
Senior Data Analyst at Binance: Analyze large volumes of transactional data using proprietary tools, build sophisticated datasets and visualizations, and provide value-added analysis and reporting.
Dropbox
As a Senior Machine Learning Engineer at Dropbox, you will design and deploy large-scale ML systems to enhance features like AI search and organization. You'll collaborate with various teams and integrate cutting-edge advancements in AI/ML technologies.
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
