Dropbox
Design and deploy machine learning systems for AI search and organization features at Dropbox, collaborating across teams to drive impactful outcomes.
Red Canary
Join Red Canary as a Threat Hunter and help protect organizations from cyber threats. Use your expertise in security controls, EDR, and DFIR to partner with customers, manage incidents, and proactively hunt for threats while mentoring others on the team. Enjoy a flexible remote work option and comprehensive benefits.
Mapbox
Senior Graphic Designer Specialist at Mapbox: Design engaging social media graphics, presentation decks, and print materials, while maintaining brand consistency and elevating visual identity across platforms.
Truelogic Software
Senior Full-stack Engineer needed for Truelogic, 5+ years of experience in software development required.
Clipboard Health
Challenger sales coach with a 'we' mentality, leading a team & improving sales processes.
ExtraHop
Lead field marketing efforts at ExtraHop, developing strategies that drive demand and revenue. Collaborate with sales and partners to execute impactful campaigns and events, positioning ExtraHop as a leading security solution.
Conga
Senior Field Marketing Manager for EMEA France & Iberia
ActiveCampaign
Create impactful content for ActiveCampaign's customer lifecycle, collaborate across teams, and drive business growth through innovative marketing strategies.
Superside
Lead engineering teams at Superside, driving technical roadmap, scaling enterprise solutions, and fostering high-performing culture.
HiveMQ
Lead Cloud Applications team at HiveMQ, driving product delivery, quality accountability, and technical strategy.
Rackspace
Cloud Engineer IV at Rackspace: Provide high-level technical support, troubleshoot complex issues, and drive customer experience with advanced OpenStack skills.
Myriad360
IT sales professional with 2+ years of experience needed for a solution-based sales role with flexible remote options
KOHO
Senior Director of Brand at KOHO: shape & amplify brand identity, drive growth through consumer-centric strategies
Outliant
Lead media buying strategies, optimize digital campaigns, and collaborate with cross-functional teams at Outliant, a fully-remote company offering great benefits including unlimited PTO and mental health support.
MariaDB plc
Senior Corporate Accounting Manager at MariaDB: Lead corporate accounting organization, implement NetSuite Multi-Book, drive system and process improvement, and develop centralized accounting policies.
Rackspace
Cloud Engineer for GCP Cloud Platform with 4-6 years of experience, proficient in Python, Linux, Shell scripting, Terraform/IaC, and CI/CD tools.
Impossible Foods
Senior Brand Manager, International at Impossible Foods: Develop and commercialize international product portfolio, lead cross-functional teams, and partner with external partners.
The Athletic Media Company
Lead the NHL editorial team at The Athletic, managing reporters and optimizing content for sports fans. Enjoy comprehensive benefits and remote work flexibility.
CoinsPaid
Senior PR Manager at CoinsPaid: Create impactful communication plans, secure media coverage, and build a strong reputation in the EU crypto payments sector.
LearnLux
Senior Software Engineer at LearnLux: Build impactful features for financial wellbeing platform, shape product direction, and contribute to scalability & security.
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
