Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team You will be joining Stripe’s ML Foundations and Gen AI team to incubate new ML applications and improve our ML capabilities across Stripe. Our team is responsible for unlocking novel ML and LLM techniques and applications across Stripe’s product suite to drive business outcomes, as well as providing infrastructure, tooling and support for ML teams. What you’ll do As a senior product leader, you will lead a cross-functional team to define, incubate and scale new ML/AI applications across Stripe’s product suite, and drive our strategy and roadmap for ML/AI infrastructure powering all of Stripe’s teams. You will work closely with product leaders across business units to define and deliver on an AI-centric product strategy, launching new applications that drive incremental business outcomes. At the same time, you will be advancing our core AI technology stack to empower teams across Stripe to infuse their scenarios with Agents and agentic capabilities, with API support for agent quality and continuous improvement. Responsibilities Develop and execute on the Stripe-wide strategy for new ML/AI applications across our product suite Evaluate and align on areas of investment for ML/AI applications in collaboration with product leaders across the company Work with cross-functional teams to execute on the roadmap and launch successful new ML/AI applications Communicate clearly and crisply with leadership stakeholders and drive alignment acr
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About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll build identify graph to enrich unified customer profile and also identify high purchase value users to drive ROAS by machine learning model. What You’ll Work On Leverage scientific methods to build identify graph and identify high-value users Drive online experiments to continuously improve ROAS Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers. What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, or related field. 3+ years of industry experience on identify graph, ID mapping and cross-device mapping in digital Ads related fields, and generate mapping and profile under large-scale data. Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills. #LI-AK1
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Storage Infra team is looking to hire a Senior Software Engineer who is excited to solve large scale storage infrastructure problems. Reddit’s mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com. Our caching layer serves 100s of millions of queries/second serving 100s of billions of keys.We do this while efficiently storing 100s of Terabytes of data across thousands of machines. As a senior engineer, you will partner closely with your team and our biggest users (ML/AI/Search) to build technical solutions that can scale to Reddit’s product growth. You’ll do this while maintaining an extremely high availability and reliability bar to ensure that Reddit’s users continue to get a great experience across our entire product portfolio. In your day-to-day, you can expect to: Contribute to developing the team and organization’s long term technical strategy. Refine and maintain our data storage infrastructure to support the storage and caching needs of products supporting hundreds of millions of users. Own the infrastructure (managed and self-hosted) that supports data writes, reads and storage a
Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are looking for a Senior / Staff AI Research Scientist, Foundation Models to advance robotic embodied intelligence. In this role, you will develop algorithms that enable robots to understand their environment, interpret and execute tasks, and communicate seamlessly with humans — with a particular focus on building and training world models that allow robots to predict, plan, and generalize across complex physical tasks. Responsibilities Design and deploy vision-language(-action) models (VLM/VLA) for contextual understanding and generalized robot action policies. Develop and train world models for action-conditioned prediction, long-horizon planning, and environment simulation — enabling robots to reason about the consequences of their actions before execution. Research approaches to improve world model fidelity using multi-modal inputs including vision, language, proprioception, and spatial representations. Develop foundation models with spatial reasoning capabilities to achieve high-precision robotic actions. Integrate multi-modal data sources (vision, language, speech, etc.) to enable natural human-robot communication. Optimize and deploy models as production-grade solutions on RoboForce robotic platforms. Requirements PhD degree in Machine Learning, Robotics, or related field, or Master's degree with 4+ years of relevant experience. Proficiency in Python and deep learning frameworks (e.g., PyTorch, JAX). Expertise in large foundation models (VLM, VLA, etc.). Strong understanding of world model architectures and action-conditioned generative modeling for robot learning. Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.). Requires 5 d
About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation. What You’ll Work On Leverage scientific methods to improve ads measurement . Drive online experiments to continuously improve ads effectiveness. Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers. What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field. 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods. Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills. #LI-AK1
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Accelerate Everpure’s AI momentum by transforming breakthrough infrastructure technology into high-impact digital experiences and technical narratives. In this strategic role, you will bridge modern AI frameworks and high-performance storage to define how enterprise technical leaders evaluate and adopt Everpure™ Data Stream Services, Portworx® by Everpure™, and our broader AI platform. By partnering closely with Product Management, Product Marketing, Solution Marketing, and Global Sales, you will establish the technical benchmark for AI data orchestration, converting complex architectures into clear market differentiation. WHAT YOU'LL DO Drive AI Technical Content & Campaign Strategy: Architect and deliver high-impact technical assets—including deep-dive technical guides, interactive demonstrations, and webcasts—that demonstrate how the Everpure™ Platform speeds AI/ML pipelines and RAG architectures. Build & Evangelize Hands-On Technical Showcases: Lead the strategy for interactive digital experiences on everpuredata.com, designing sandbox environments, TestDrive workflows, and live demonstrations for infrastructure architects and data engineers. Equip Field Teams with Technical Enablement: Own the technical enablement toolkit for global sales and partners, creating high-fidelity reference architectures, sizing frameworks, and competitive technical toolkits for major enterprise deals. Bridge Engineering Lo
#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform, including newsfeed, notifications, ad relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be integral to making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make You will be part of a scrappy and
P-1137 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 5+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance,
#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make You will be part of
Who we are ? Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Over the last few years, Data Science at Artefact Morocco has skyrocketed in terms of novel projects coupled with a growing diverse team. We tackle use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics & Statistics for Machine Learning and Deep Learning, with a recently strong focus on Generative AI. Responsibilities : In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to: Qualify the feasibility of Use Cases, translating business challenges into technical formulations Define the business and statistical hypothesis, and build the solution followed by testing and validation For those Use Cases that are validated, you will help develop a production-ready solution. When consulted on a business challenge, you propose adequate AI or machine learning options to address this need. You act as an expert on the best algorithm to c
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We o ff er best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role: We are looking for a Senior Data Analyst who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries. More specifically, you will: Engage with clients to understand their business context Understand business processes and map the complete process in visual formats. Translate business problems into analytical structures and solve using statistical/ML techniques Manage a team of data analysts to deliver solutions for clients. Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. Desired Skills & Competencies: Developing and enhancing algorithms and models to solve business problem. Providing end-to-end analysis support across different industry domains and application areas. Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations) Conducting quantitative analyses and interpreting results Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any). Proficient in MS SQL Database. Python knowledge is good to have. Strong analytical and problem-solving skills. Storyboarding, Client Interaction is a value addition. Education & Desired
Upwork Inc.'s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn , Facebook , Instagram , TikTok , and X ; and learn more about Lifted at Go-Lifted and follow on LinkedIn . Upwork's Match Platform team sits at the heart of how clients and freelancers find each other. As Senior Product Manager for Match Platform, you will own the shared infrastructure that powers matching, personalization, embeddings, and evaluation across multiple product surfaces. This is a high-leverage role: the models, features, and frameworks you build become the foundation that other product and ML teams build on. You will partner closely with engineering, data science, machine learning, analytics, and marketplace operations to reduce duplication, increase reuse of shared capabilities, and drive measurable improvem
The Opportunity Typography is central to how ideas are communicated. If you're passionate about beautifully created design, have deep curiosity about what AI can do, and take personal responsibility for creating products that people love; then this may be the role for you. Adobe Fonts supports millions of creatives in choosing and using typefaces across fonts.adobe.com, Express, Photoshop, Illustrator, Acrobat, and more Creative Cloud platforms. Our Internal Services team provides the platform engineering and deployment backbone for all of these. We manage CI/CD, deployment approaches, the services and data layers our engineers depend on, our observability and security stance, and increasingly the agentic tools that transform how our entire organization delivers software. We're seeking a Senior Software Development Engineer to lead this exciting journey in our San Francisco location. What you'll do Own and evolve our deployment platform. Lead strategy for CI/CD, PR environments, and release safety across a mixed fleet that includes containerized services, serverless services, and static front ends. Build the foundation for AI-accelerated development. Help build our agent factory and grow our internal agentic toolkit and skill library. Ship inference applications at scale. Take greenfield services from spec to production and standardize our ML/inference footprint. Modernize our services for the AI era. Identify where an existing service is held back by its current build and lead the fix. Rethink our security posture for agentic threats. Lead how we secure autonomous agents and their tool use. Expose Adobe Fonts to the agentic ecosystem. Extend our Model Context Protocol (MCP) surface and conversational, intent-based font discovery. Work higher up the stack, too. Contribute directly to search, browse, discovery, and the customer-facing experie
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Who We Are: Roblox is powered by microservices. Application Networking connects and secures Roblox’s services. We build ingress gateways that route traffic from the edge data centers to the core data centers, and service mesh to facilitate inter-service communications in the core data centers. We are forming a new Kubernetes networking team for a high performance computer that we are building for machine learning (ML) inference and training workloads. We are looking for accomplished engineers to set the foundation of this work. You will: Bootstrap the Kubernetes networking domain within Roblox Contribute to the technical strategy and the execution to b
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work on innovating in the DFT Power, Thermal & Voltage Noise Methodology areas. This will include working on groundbreaking low power & thermal solutions for our manufacturing tests to be enabled at conditions that push the boundaries for our datacenter GPUs. You will work with multi-functional teams including Product Development & Power Architecture, implementing brand-new methodologies on hard-to-solve problems for improving our outgoing quality of chips. You will work on post-silicon data analysis for power to architect the next-gen solutions. In addition, you will help develop and deploy DFT methodologies for our next generation products using Applied ML & Gen AI solutions. You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equ
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