OverviewJoin Phia as a Senior Machine Learning Engineer, where your expertise will help us design, build, and scale cutting-edge production ML systems that enhance our core product offerings and drive data-driven decision-making. You will engage with the entire ML lifecycle—from data preprocessing and model development to deployment and continuous improvement—tackling challenges such as ranking, personalization, and optimization. This pivotal role bridges machine learning, product engineering, and data platforms, allowing you to influence systems that directly contribute to user growth and experience. You will be responsible for deploying models into production, executing rapid experiments, and shaping the future of machine learning at Phia as we expand.About PhiaPhia has successfully secured $43 million in funding from renowned investors such as Notable Capital, Khosla Ventures, and Kleiner Perkins, aimed at creating the AI alignment layer for commerce. In less than a year, our consumer shopping agent has attracted over one million users and established partnerships with more than 6,200 retail brands, generating billions in annual gross merchandise volume. Each month, Phia drives millions of dollars in sales for our partners and has experienced remarkable revenue growth of 11x since our launch.As AI vertical agents continue to revolutionize various industries, commerce stands on the brink of a significant transformation. Phia is redefining the shopping experience, shifting it from a fragmented and impersonal interaction to a personalized, intelligent, and trustworthy journey tailored to each user's intent. This foundation of trust positions us to become the go-to shopping destination for the next generation of consumers.At Phia, we pride ourselves on being a nimble, high-ownership team that operates at startup speed. If you are eager to deliver high-impact solutions and tackle complex challenges in consumer AI and commerce, this is the perfect environment for you.

OverviewJoin the dynamic Engineering team at Phia as an iOS Engineer, where you'll play a pivotal role in crafting seamless iOS experiences that enhance search functionalities and brand pages throughout our platform. You will be responsible for developing consumer-oriented features that promote brand discovery, exploration, and engagement. This position merges mobile engineering with product discovery and brand experiences, providing you with invaluable hands-on experience in building and scaling high-quality iOS applications. Collaborate closely with product and design teams, and contribute to essential features utilized by a rapidly expanding user base.About PhiaPhia has successfully secured $43 million in funding from esteemed investors including Notable Capital, Khosla Ventures, and Kleiner Perkins, aimed at revolutionizing the AI alignment layer for commerce. Within less than a year, Phia's innovative consumer shopping agent has attracted over one million users and partnered with more than 6,200 retail brands, collectively generating billions in annual gross merchandise volume. Each month, we facilitate millions of dollars in sales for our partners, achieving an impressive 11× revenue growth since our launch.In a transformative era where AI vertical agents are redefining industries, Phia is on a mission to reshape the shopping experience from a fragmented and impersonal process into one that is intelligent, trustworthy, and tailored to individual user intents. This foundation of trust positions us to become the premier shopping destination for the next generation of consumers.At Phia, we maintain a lean, high-ownership team dynamic that operates with the agility of a startup. If you're eager to deliver high-impact solutions and tackle complex challenges in consumer AI and commerce, this is the ideal environment for you.

OverviewAs the Senior Partnerships Manager at Phia, you will spearhead the development and expansion of strategic partnerships that facilitate growth across brands, creators, platforms, and key stakeholders. You will take charge of the partnership strategy and execution from inception to fruition, identifying lucrative opportunities, negotiating deals, and transforming relationships into tangible product and revenue growth. This is a dynamic leadership position suited for someone who excels in fast-paced environments, navigates ambiguity with ease, and possesses the ability to build initiatives from the ground up. You will collaborate closely with Product, Engineering, Sales, and Executive Leadership to position partnerships as a critical driver of growth as Phia continues to scale.About PhiaPhia has successfully secured $43 million in funding from prominent investors including Notable Capital, Khosla Ventures, and Kleiner Perkins, aiming to create the AI alignment layer for commerce. In less than a year, Phia’s consumer shopping agent has attracted over one million users and established partnerships with over 6,200 retail brands, generating billions in annual gross merchandise volume. Each month, Phia propels millions of dollars in sales for its partners and has achieved an impressive 11× revenue growth since its inception.In a time where AI-driven agents are transforming every sector, commerce is on the brink of a revolution. Phia is dedicated to transforming shopping from a fragmented and impersonal experience into one that is intelligent, trustworthy, and tailored to each user's intent. This foundation of trust is our strategic advantage to emerge as the go-to shopping destination for the next generation of consumers.At Phia, we embrace a lean, high-ownership culture and operate at the speed of a startup. If you are eager to deliver at a rapid pace and tackle complex challenges in consumer AI and commerce, this is the ideal environment for you.

OverviewJoin Phia as a Full Stack Engineer and play a pivotal role in developing and launching features for our innovative creator and brand ecosystem. You will engage in building tools for content publishing, product data management, and performance optimization. Collaborate closely with a team of seasoned engineers, gaining hands-on experience while contributing to scalable platforms that grow alongside our business.About PhiaPhia has successfully secured $43 million in funding from top investors including Notable Capital, Khosla Ventures, and Kleiner Perkins, all aimed at creating a transformative AI alignment layer for the commerce sector. In less than a year, our consumer shopping agent has attracted over one million users and partnered with more than 6,200 retail brands, generating billions in annual gross merchandise volume. Phia is driving millions in sales each month and has achieved an extraordinary 11× revenue growth since its inception.In a rapidly evolving landscape where AI is revolutionizing industries, Phia is at the forefront of reshaping the shopping experience from a fragmented and impersonal process to an intelligent, trusted, and user-centric journey. Our commitment to fostering trust positions us as the go-to shopping destination for the next wave of consumers.We pride ourselves on being a lean, high-ownership team that operates with the agility of a startup. If you are eager to deliver high-impact solutions and tackle challenging problems in consumer AI and commerce, this is the perfect opportunity for you.

OverviewAs a Principal Full Stack Engineer, you will take the helm of a talented team, spearheading the development of Phia's core product and platform from inception. You will oversee engineering execution across frontend, backend, and infrastructure, establishing the technical vision while scaling teams that prioritize speed and reliability in delivery. This is an active leadership role suited for an individual who excels in uncertain environments, collaborates closely with Product and Design, and skillfully balances speed, quality, and sustainable architecture. You will shape the engineering practices at Phia as we evolve from the ground up.About PhiaPhia has successfully secured $35 million in funding from esteemed investors such as Notable Capital, Khosla Ventures, and Kleiner Perkins to develop the AI alignment layer for commerce. Within a year, Phia’s consumer shopping assistant has attracted over one million users and partnered with more than 6,200 retail brands, representing billions in annual gross merchandise volume. Each month, Phia generates millions in sales for its partners, achieving an impressive 11× revenue growth since its inception.As AI vertical agents revolutionize various sectors, commerce is on the cusp of a significant transformation. Phia is redefining the shopping experience, shifting from a disjointed and impersonal process to one that is intelligent, trustworthy, and tailored to each user's needs. This foundation of trust positions us to become the all-in-one shopping destination for the next generation of consumers.Phia operates with a lean, high-accountability team delivering at a rapid pace. If you are eager to push the boundaries of consumer AI and commerce while tackling complex challenges, this is the perfect environment for you.

OverviewJoin our dynamic team as a Senior Backend Engineer where you will architect, develop, and scale essential backend systems that support high-traffic consumer applications and internal platforms. You will take ownership of vital services and APIs, engage with high-throughput distributed architectures, and collaborate closely with product, machine learning, and engineering teams to deliver seamless, low-latency experiences for our users.About PhiaPhia has successfully secured $43M in funding from top-tier investors including Notable Capital, Khosla Ventures, and Kleiner Perkins to develop the AI alignment layer for the commerce sector. In less than a year, Phia’s consumer shopping assistant has amassed over one million users and established partnerships with over 6,200 retail brands, generating billions in annual gross merchandise volume. Each month, Phia contributes millions in sales for its partners and has achieved an impressive 11× revenue growth since its inception.As AI-driven vertical agents revolutionize various industries, Phia is at the forefront of transforming commerce from a fragmented and impersonal experience into a more intelligent, trustworthy, and user-centric journey. This trust serves as our competitive edge, positioning us as the comprehensive shopping destination for the next generation of consumers.Phia fosters a lean, high-ownership culture with a startup mentality. If you are eager to work in a fast-paced environment and tackle complex challenges within consumer AI and commerce, we invite you to join us.

About Us:At ClarityPay, we empower businesses and their customers by expertly addressing intricate credit challenges with agility, precision, and intelligence. Our blend of extensive experience and cutting-edge technology simplifies processes and consistently yields superior results.As a rapidly expanding fintech firm, we equip enterprise merchants with innovative pay-over-time solutions. From point-of-sale financing to "Buy Now, Pay Later" initiatives and integrated loyalty offers, we are crafting customizable credit tools that enable businesses to reach more customers.Our core values include teamwork, a clear sense of purpose, and a meticulous approach to data-driven decision-making. We prioritize speed and quality to provide an outstanding customer experience.Role Overview:ClarityPay is investing heavily in the development of machine learning products, algorithms, and platforms. We seek technically skilled engineers who are enthusiastic about tackling complex optimization issues related to customer complaints, collections, and offer optimization.This position is suited for an engineer who views the "collections process" as a Reinforcement Learning environment. You will delve deep into the problem space through thorough case reviews to uncover the "why" and "what," and formulate robust hypotheses to enhance outcomes. Transitioning from basic predictive models, you will craft transformative algorithmic solutions utilizing Bayesian Black Box optimization, Contextual Bandits, and Deep Q-Networks (DQN/DDQN).This problem space is primed for innovation, and your curiosity, motivation, and skills will dictate the extent of your impact. You will also have the chance to take on leadership roles, including technical mentorship and managing offshore engineering teams.Key Responsibilities:End-to-End Problem Solving: Take ownership of the entire solution lifecycle. Engage in comprehensive case reviews to develop hypotheses, design rigorous A/B tests for validation, and automate the implementation of successful strategies.Advanced Algorithmic Development: Create and deploy inferential solutions that optimize operational management. Implement and refine advanced methodologies such as Contextual Bandits, Deep Q-Networks (DQN), Double DQN, and Bayesian optimization to deduce causal effects and maximize long-term rewards.Engineering & Reliability: Construct the foundational data infrastructure. Develop robust data pipelines and integrate machine learning models into production-ready systems.

About FinchAt Finch, we envision a world where every American household has access to legal counsel during significant life events. We are transforming the legal landscape by creating innovative infrastructure that enhances justice accessibility. Our modern consumer law framework automates administrative tasks, prioritizing client needs, starting with personal injury cases.Since our launch in April, we have experienced exponential growth, expanding our reach tenfold and supporting pre-litigation processes for leading law firms nationwide. We seamlessly blend expert operations with cutting-edge AI technology to manage intake, claim initiation, medical records, police reports, lien management, demands, and every detail in between.Backed by distinguished investors including Sequoia and Redpoint, along with founders and CEOs of transformative companies like DoorDash, Ironclad, and Digits, we are fundamentally reshaping how legal services are delivered to everyday Americans. We are in search of exceptional talent to help us scale this mission across the country.This RoleLegal processes often involve navigating unstructured documents, repetitive tasks, and data that current systems struggle to manage. As a Machine Learning Engineer at Finch, you will take ownership of the entire AI system lifecycle—from prototyping to deployment—addressing challenges where a single innovation can significantly enhance law firm operations.What You'll DoIn this hands-on applied AI position, you will develop and deploy production-ready systems rather than just conducting experiments. Your responsibilities will evolve alongside our product and team.Create voice agents, browser agents, OCR pipelines, and LLM-driven workflows that consistently perform well in production.Establish robust evaluation frameworks and feedback mechanisms to enhance model accuracy and dependability.Manage the complete ML lifecycle, including model selection, fine-tuning, prompt engineering, deployment, and monitoring.Collaborate closely with product teams, operations, and legal experts to ensure the AI solutions address the right challenges.Monitor emerging research and tools, making informed decisions on their integration into our technology stack.Who We Have in MindWe seek engineers who prioritize results over algorithms and are equally proficient in production environments and analytical settings. Below are the key qualifications we are looking for.Must-HavesOver 3 years of experience in building and deploying production ML systems.Proficient in Python, with experience across the full ML stack.

About UsAt Percepta, we are dedicated to revolutionizing essential sectors through applied AI. Our vision is to empower industries that drive the global economy, such as healthcare, manufacturing, and energy, leveraging cutting-edge technology.To achieve this, we partner with leading organizations to facilitate AI transformation. Our strengths lie in:Expertise in engineering, product innovation, and research.Our proprietary toolset, Mosaic, for swiftly implementing intelligent workflows.Strategic alliances with industry giants like Anthropic, McKinsey, AWS, and others within the General Catalyst portfolio.Our rapidly expanding team consists of Applied AI Engineers, Product Managers, and Researchers, all driven by a shared goal of integrating AI advances into practical enhancements in everyday life.Percepta is a proud partner of General Catalyst, a global leader in transformation and investment.Role OverviewWe are seeking talented Machine Learning Engineers to collaborate directly with client teams, defining and delivering impactful AI systems. This is not about prototypes; you will design, build, and deploy production-grade AI agents and workflows that significantly enhance business outcomes for our clients.As a Machine Learning Engineer, you will:Design and optimize AI/ML systems: Create comprehensive ML pipelines for data ingestion, training, evaluation, and deployment. Enhance and adapt LLM models using techniques like fine-tuning, distillation, and retrieval systems to address specific industry challenges.Conduct thorough evaluations of AI systems: Implement custom assessments to validate model performance in real-world applications.Apply advanced methodologies: Stay abreast of the latest innovations in areas such as RAG, tool integration, multi-step agent orchestration, and evaluation frameworks, applying these to meet unique customer needs.Collaborate across teams: Work alongside research and product teams to transform cutting-edge techniques into scalable features and workflows.Enhance our core product: Integrate insights from customer interactions back into our Mosaic product, consistently delivering reusable ML components and infrastructure enhancements.

At PermitFlow, we are transforming the future of construction across America. As a pioneering applied AI firm, we address one of the most significant information challenges in the construction industry: comprehending what can be built, where, and how. Our innovative AI-driven agents empower the nation’s most rapidly growing construction companies to navigate the complexities of permitting, licensing, inspections, and project closeouts—thereby expediting housing, clean-energy, and infrastructure development nationwide.The construction sector, valued at $1.6 trillion, faces substantial delays, resource wastage, and unrealized opportunities. PermitFlow has successfully provided enhanced speed, accuracy, and visibility to over $20 billion in development projects, aiding contractors in minimizing compliance time, mitigating project risks, and scaling operations with assurance.As the U.S. enters a new capital expenditure supercycle encompassing data centers, factories, housing, and renewable energy, becoming a part of PermitFlow means constructing the AI infrastructure that underpins every construction project and propels the upcoming wave of reindustrialization.We have raised over $90 million, recently completing our Series B funding round, backed by prestigious investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with support from industry leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, offering a hybrid work schedule (3 days in the office per week). Preference will be given to candidates based in NYC or those willing to relocate.

At Garner Health, our mission is to revolutionize the healthcare economy by providing accessible, high-quality care for everyone.We are fundamentally rethinking how healthcare operates in the U.S. by collaborating with employers to redesign healthcare benefits, utilizing clear incentives and powerful, data-driven insights. This approach directs employees towards superior, cost-effective care, creating a system that benefits everyone involved. Patients enjoy improved health outcomes, employers maximize their healthcare investments, and physicians are incentivized to deliver outstanding care rather than simply increasing procedural volume.Garner is recognized as one of the fastest-growing healthcare technology companies nationwide. Our solutions are trusted by leading employers and providers, and we are committed to assembling a team of talented, mission-driven individuals eager to make a significant impact on healthcare at scale.About the Role:We are on the lookout for a highly skilled Senior Machine Learning Engineer to join our dynamic team. Garner’s Engineering team tackles complex technical challenges that have a meaningful purpose. Our systems analyze billions of medical records to evaluate healthcare providers nationally. Operating primarily on AWS and Kubernetes, we constantly integrate new technologies as our system load doubles each year. We anticipate our engineers to leverage cutting-edge industry practices while we enthusiastically incorporate AI into every facet of our operations. We seek teammates who take pride in their work and contribute positively to our team culture.Work Environment:This position is based in our New York City office (located in the Financial District), with a requirement to work on-site three days a week: Tuesday, Wednesday, and Thursday.Key Responsibilities:Lead team-level technical strategy and execution over multi-quarter timeframes.Utilize AI to develop, enhance, and sustain ML, data, and software systems.Elevate the engineering skill set across the organization by raising the technical standards.Collaborate across disciplines to deepen understanding of our domain and refine project iterations.Safeguard user privacy and security by implementing best practices.

Role overview phia seeks a Senior Data Scientist based in New York City. This role centers on applying analytical skills to support business decisions and shape company strategy. The Senior Data Scientist will handle large, complex datasets and use advanced statistical methods along with machine learning models to extract insights and forecast future trends. What you will do Examine diverse datasets to spot patterns and emerging trends Build and improve predictive models using statistical and machine learning approaches Present data-driven findings as clear, practical recommendations for stakeholders Contribute to strategic planning by providing insights grounded in data analysis

About SandbarSandbar is an innovative interface company located in New York City, dedicated to empowering individuals in an agentic world, allowing them to think, act, and move freely. Our talented team has developed software, machine learning, and hardware products at renowned companies such as Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.Our flagship product, Stream, is a cutting-edge human-agent interface—a private voice ring and conversational computer. Featured in prestigious publications like the WSJ, Bloomberg, and Wired, Stream is set to launch in Summer 2026.Join us in revolutionizing interfaces for self-augmentation.Job SummaryWe are in search of a passionate Machine Learning Engineer specialized in audio technology to contribute to the development of Stream, our innovative conversational computer. In this role, you will create a system that integrates voice recognition, memory capabilities, and agentic control. This position is ideal for someone who is deeply committed to real-world machine learning applications and enhancing human-in-the-loop interactions.

Coral AI is building an intelligent operating system to address inefficiencies in healthcare administration. The company’s work was recently featured in Forbes for tackling the $450 billion lost each year to paperwork and the delays this causes for patients needing timely care. About Coral AI Coral AI’s automation platform uses advanced AI to process handwritten faxes, complex medical records, and low-quality scans. The system achieves 98.7% accuracy, helping healthcare organizations handle documents that typically slow down operations. Backed by Lightspeed and led by founders with deep experience in AI and robotics, Coral AI reached multi-million dollar annual recurring revenue within six months, serving medical equipment providers, clinics, and specialty pharmacies. Impact The technology reduces patient wait times from days to hours, allowing clinicians to focus on care instead of paperwork. Coral AI aims to remove administrative barriers so medical staff can deliver care without unnecessary delays. Role Overview: Machine Learning Engineer This role centers on solving challenges in Optical Character Recognition (OCR) and Natural Language Processing (NLP) for healthcare applications. The work directly contributes to improving patient outcomes and streamlining healthcare delivery. Location New York City

About WatershedWatershed is a premier enterprise sustainability platform utilized by leading companies such as Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens to effectively manage climate and ESG data. Our platform provides audit-ready metrics for both voluntary and regulatory compliance, including CSRD, while actively promoting significant decarbonization efforts. We seek passionate team members who thrive in a product-driven environment and are eager to contribute to the culture of a rapidly growing mission-oriented startup.With offices in major cities like San Francisco, New York, Denver, London, Paris, Berlin, Sydney, and Mexico City, alongside a remote workforce across the US and Europe, we invite you to consider joining our innovative journey!The RoleWe are in search of an experienced Machine Learning Engineer with a focus on AI to join our dynamic team. In this pivotal role, you will serve as a technical leader responsible for developing world-class AI tools that empower companies to measure and mitigate their carbon emissions. Your expertise in large language models (LLMs), embeddings, and other AI technologies will be instrumental in delivering exceptional features to our clients, as well as establishing the technological foundation for AI at Watershed.Key Responsibilities:Prototype, develop, and refine new product areas for Watershed, equipping our customers with powerful AI capabilities to transform data and discover methods for reducing their emissions.Productionize and launch core technologies that drive AI functionalities based on extensive operational sustainability data.Collaborate closely with product teams and other AI engineering groups to define product and technical strategies.Build evaluations, fine-tune models, and create agent harnesses to establish reliable AI systems.Stay updated on advancements in AI technology to assess their applicability for Watershed.Write high-performance, maintainable, and well-documented code across our technology stack.

Trunk Tools seeks a Senior Machine Learning Engineer to join its team onsite in New York City. This role centers on creating and deploying models that drive the company’s main objectives. Working alongside colleagues from various backgrounds is a key part of the job. Responsibilities Design and build machine learning models for practical use cases Collaborate with cross-functional teams to gather requirements and deliver effective solutions Deploy models into production environments and monitor their scalability Work Location This position is based at the Trunk Tools headquarters in New York City. Regular onsite presence is required.

About NeloNelo is a premier consumer fintech and e-commerce platform in Mexico, boasting over $500 million in annualized GMV and more than $70 million in annualized revenue. Our vision is to enhance the purchasing power of consumers across Latin America by providing a modern alternative to traditional credit cards.Nelo has successfully secured over $40 million in venture capital from esteemed investors such as Homebrew, Two Sigma Ventures, and Susa Ventures. Additionally, we have obtained a $100 million asset credit facility from Victory Park Capital.Our dynamic team includes seasoned professionals from top technology firms like Uber, Amazon, Rappi, and DiDi. We take pride in our agility, intellectual rigor, and operational efficiency. Nelo operates offices in both Mexico City and New York City.Why This Role Stands OutUnlike many Data Science positions that primarily focus on optimizing advertisements or marginally enhancing recommendation systems, this role is fundamentally different.At Nelo, your analytical models become integral to our product. You will engineer the decision-making engine that dictates credit access in an emerging market, tackling complex constrained optimization problems where subpar mathematics could lead to financial repercussions.We seek individuals who are discontented with the 'black box' methodologies of contemporary libraries and possess a genuine understanding of the statistical theories and causal relations underpinning the algorithms. If you are eager to apply academic-level rigor to a rapidly scaling profit and loss statement, this is your opportunity.Your Responsibilities:Unravel the

Confido is revolutionizing the AI infrastructure that empowers Consumer Packaged Goods (CPG) brands by streamlining critical processes from deduction to production planning. Our integrated platform unifies cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics. This integration results in significant time savings, enhanced decision-making, and accelerated scaling capabilities.With over 200 trusted brands managing more than $20 billion in revenue—including notable names like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana—Confido has demonstrated exceptional growth. Recently, we secured a $15 million Series A funding round led by Footwork Ventures and Y Combinator to further drive our expansion.As a Senior Machine Learning / AI Engineer, you will play a pivotal role in developing the AI systems that form the backbone of the Confido platform. Your responsibilities will span from LLM-powered document understanding to creating predictive models that assist brands in making informed decisions.You will collaborate closely with engineering and product teams to transition AI capabilities from research into practical applications.

Join Our Team as a Machine Learning Solutions EngineerAt Lightning AI, we are pioneers in the field of artificial intelligence, empowering developers and organizations to seamlessly transition their AI concepts from research to production. As the creators of PyTorch Lightning, we offer a comprehensive platform that simplifies the development, training, and deployment of AI systems.Founded in 2019, Lightning AI has merged with Voltage Park, an AI Factory that emphasizes cost-efficient, large-scale computing solutions. Our platform is designed for researchers, startups, and established enterprises, providing them with essential tools for experimentation, training, and production inference, all while ensuring security and observability.Headquartered in New York City, with additional offices in San Francisco, Seattle, and London, we are backed by top-tier investors including Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

At GPTZero, we are committed to fostering trust and transparency across the internet. As a premier AI detection platform, we equip educators, students, journalists, marketers, and writers with the tools they need to navigate the rapidly changing world of AI-generated content. With a user base numbering in the millions, we are pioneering a category-defining company at the confluence of AI and information integrity.Our team is comprised of individuals from high-performance engineering backgrounds, including industry leaders like Meta, Perplexity, AWS, Affirm, and renowned AI research institutions such as Princeton, Caltech, and the Vector Institute.About this role:In this pivotal role, you will be instrumental in developing the next generation of AI tools designed to enhance and preserve critical thinking for humanity. The ideal candidate will be skilled in creating dependable AI agents and prompt engineering, possess a strong product sense, and demonstrate exceptional software engineering abilities. You will collaborate with a dynamic team of passionate innovators to create software that sets industry standards and has garnered millions of global users.