Staff Fullstack Engineer at Nium | San Francisco

About the RoleAs a pivotal technical founder, you will be responsible for crafting the entire product interface of Known. This includes developing an engaging mobile application, establishing backend systems for seamless matching and communication, and implementing API integrations that simplify the dating experience. You will create features that combine stunning user interfaces, intelligent data workflows, and third-party services to deliver a truly enchanting consumer experience.You will collaborate closely with the founding team, which includes experts in AI/ML, product development, and design, to transform innovative product concepts into functional code. This high-ownership position allows you to design systems, make significant technical choices, and directly influence how millions of users interact with Known.ResponsibilitiesDevelop and launch mobile applications using React Native that are fast, enjoyable, and user-friendly, covering everything from onboarding processes to real-time messaging and match exploration.Create and uphold backend services utilizing Node.js/TypeScript, including RESTful APIs, WebSocket connections for real-time chatting, and WebRTC integrations for audio and video functionalities.Integrate third-party solutions such as OpenAI/Anthropic LLMs, Apple/Google Pay, reservation systems, and SMS/push notifications to provide seamless, automated interactions.Collaborate with AI/ML engineers to present model outputs—like compatibility scores, tailored recommendations, and conversational agents—through intuitive user interfaces and efficient APIs.Manage infrastructure and deployments on contemporary cloud platforms, ensuring reliability, security, and scalability as the user base expands.Implement analytics and monitoring to evaluate user engagement, conversion pathways, and overall product health in real-time.Requirements3–5 years of experience in building production-level fullstack or mobile applications, preferably within consumer products or startup environments.Proficient in TypeScript, React, React Native, and Node.js.Demonstrated experience in designing and optimizing RESTful APIs with a focus on performance, security, and maintainability.Solid understanding of Postgres—comfortable with data modeling, query optimization, indexing, and database performance.Familiarity with cloud platforms (AWS, GCP, Vercel) for hosting and deployment.

About the RoleJoin us as a pivotal technical founder at Known, where you will be responsible for developing the back-end systems and infrastructure that drive our innovative platform. Your expertise will shape the APIs that cater to millions of requests, establish real-time communication frameworks for voice and text interactions, and create data architectures that facilitate intelligent matching on a large scale. You will design robust, high-performance systems primed for growth alongside our expanding user base.In collaboration with our founding team, including specialists in AI/ML, full-stack development, product management, and design, you will architect back-end services that effectively manage complex workflows. This includes streaming LLM responses, processing payments, handling batch matching jobs, and enabling real-time chat functionalities, all while ensuring simplicity and enhancing developer efficiency. This is a high-responsibility position where your decisions will lay the groundwork for the future scalability of Known.ResponsibilitiesDesign and develop scalable back-end services using Node.js/TypeScript, including RESTful APIs, background job processing, and data pipelines for real-time and batch operations.Architect and enhance database systems with Postgres, focusing on schema design, query optimization, indexing strategies, and data integrity at scale.Build real-time communication infrastructures utilizing WebSockets for chat and WebRTC for audio/video, ensuring minimal latency and maximum reliability.Integrate and oversee third-party services (such as OpenAI/Anthropic LLMs, Google/Apple Pay, reservation platforms, and notification services) with effective error handling and monitoring.Collaborate with AI/ML engineers to construct APIs and data pipelines that support model predictions, manage training data collection, and facilitate experimentation workflows.Take charge of infrastructure, deployment, and observability — develop CI/CD pipelines, implement monitoring and alerting systems, optimize cloud expenses, and guarantee system reliability as user traffic increases.Design for performance and scalability — implement caching strategies, optimize API response times, and architect systems capable of accommodating significant growth without necessitating rewrites.Requirements4–6 years of experience in building production back-end systems, preferably for consumer products, high-traffic applications, or startups.Strong proficiency in TypeScript and Node.js, with a thorough understanding of asynchronous programming techniques.

Join Known as a Founding Product EngineerLocation: San Francisco, CA (In-Person)Compensation: $150,000 - $200,000 + EquityAt Known, we're redefining how humans connect by utilizing advanced AI technology. Our mission is to enrich lives by fostering authentic connections, guided by the stories our users share.Our users engage deeply with our AI voice agent, averaging 27 minutes of conversation, allowing us to gather profound insights into their lives.Our engineering team consists of innovators who have previously developed some of the most popular AI-driven consumer products such as Uber, Uber Eats, Afterpay, and Cash App.We thrive in a collaborative in-person environment located in Cow Hollow, San Francisco, where hard work and autonomy are highly valued.About the RoleWe are in search of exceptional product engineers to further enhance the Known mobile application. Your role will involve a strong design focus as we aim to be the Apple of dating. Our engineers are meticulous artisans dedicated to quality, as we prioritize a product that is both intentional and distinctly human-centered.You may be a great fit if youHave a primary focus as a React Native engineerHave experience building products with intricate audio and voice functionalitiesAspire to create technology that facilitates a million marriagesExhibit a high level of attention to detailOur InvestorsWe are proudly backed by renowned investors including Eurie Kim and Kirsten Green from Forerunner Ventures (the minds behind Decagon, Faire, and Oura), as well as NFX and PearVC.

Join Known as a Founding Product Operations SpecialistLocation: San Francisco, CA (In-Person)Salary: $120,000 - $150,000 + EquityAt Known, we are revolutionizing the way people connect. Our mission is to empower humanity through the application of general intelligence to human relationships.Our users share their life stories with us, engaging with our AI voice agent for an average of 27 minutes, providing intimate insights that enhance our matchmaking process.Our talented team comprises engineers who have developed renowned AI-driven consumer products, including Uber Eats, Uber, and Afterpay.We embrace a culture of hard work, autonomy, and ownership, collaborating in our Cow Hollow office in San Francisco.Role OverviewWe are in search of exceptional product thinkers to take charge of Known’s product experience. Our goal is to become the Apple of dating, striving for a best-in-class user experience. You will work directly with the founders to craft transformative user interactions that positively impact lives.Your ResponsibilitiesYou will have the autonomy to own specific aspects of Known’s user experience based on your interests.Your focus may include:Collaborating with founders and engineering to implement user feedbackExperimenting with notifications and strategies for user retentionManaging user metrics, including onboarding, date conversion, and retention ratesDeveloping Human-In-The-Loop processes for waitlist approvals and matchmakingConducting QA for new app buildsCoordinating app store submissions and reviewsAt Known, you’ll be contributing to building connections that could lead to countless marriages and families.Our InvestorsWe are proudly backed by Eurie Kim and Kirsten Green at Forerunner Ventures (investors behind Decagon, Faire, and Oura), NFX, and PearVC.

Join Known as a Founding Machine Learning EngineerLocation: San Francisco, CA (In-Person)Salary: $200,000 - $375,000 Cash + EquityAt Known, we are revolutionizing the way people connect by utilizing advanced AI technology. Our mission is to enhance human relationships through intelligent matchmaking.Users engage with our AI voice assistant, sharing their personal stories for an average of 27 minutes, which provides us with a rich, multi-modal data set.Our team comprises seasoned engineers behind some of the most successful AI-driven consumer applications, including Uber Eats, Uber, Faire, and Afterpay.We value hard work, autonomy, and ownership, and collaborate in our Cow Hollow office in San Francisco.Explore More About Us:Download KnownOur Launch AnnouncementTechCrunch Feature on Our Seed FundingNew York Times Article on KnownFastCompany Review of KnownVisit Our Website

Position OverviewJoin Onyx, a leading open-source project with a vibrant community of over 300,000 users, contributing to a platform that has garnered more than 13,000 stars on GitHub. As a Fullstack Engineer, you will have the chance to make a significant impact in a project that has the potential to reach millions globally. Your ContributionAs one of the early team members, you will be instrumental in defining our core product. Help us establish Onyx as the premier “GenAI for work” application worldwide. This role is based in our San Francisco office.Your responsibilities will include:Designing a user-friendly interface for our GenAI Chat, Enterprise Search, Agents, and Admin features.Enhancing backend functionalities and APIs to support our growing needs.Refining the search pipeline for better flexibility and quality, developing a semantic understanding of customer organizations, and improving permission and access controls.Implementing cutting-edge NLP techniques, such as LLM-based Knowledge Graphs and StructRAG, to broaden the system’s question-answering capabilities (AI/deep learning experience is not mandatory).Taking ownership of the entire development lifecycle of new features, from ideation to deployment.Collaborating closely with founders and the team to influence product direction and contribute to our engineering strategy. Success Factors1-5 years of practical software engineering experience in developing real-world applications.Proficiency in Typescript, React, NextJS, Python, and relational databases (Postgres).A passion for working in a dynamic startup environment with minimal processes.Strong communication skills and the ability to work collaboratively with both teammates and external stakeholders.⭐ Additional AdvantagesFamiliarity with Docker, Kubernetes, cloud platforms (AWS, GCP, Azure), and both on-premise and cloud deployments.An interest or experience in AI technologies (NLP, Deep Learning, GenAI) and information retrieval.Background as a founder or early engineer at a seed or series-A startup.

Role OverviewJoin OpenEvidence as a Fullstack Software Engineer, where you will take ideas from concept to execution, driven by the desire to create impactful solutions that will be utilized and appreciated by millions of discerning users globally.We seek exceptional builders who thrive beyond traditional boundaries. Our engineers engage across diverse products and projects, taking full ownership of their work to maximize impact.About OpenEvidenceOpenEvidence is the leading medical AI platform, recognized globally. In just over a year, we’ve achieved over 40% adoption among US clinicians, driven by product excellence and word-of-mouth referrals. With a valuation of $12 billion and a 30-member engineering team composed of talent from MIT, Harvard, and Stanford, we believe that transformative products stem from a small, dedicated group of autonomous builders who are empowered to take ownership and act swiftly. As we expand our team, we are poised to establish the standard platform for medical AI.If you are a top-tier engineer or scientist eager to shape the forefront of technology and deliver tangible outcomes that can positively influence hundreds of millions of lives, we want to connect with you.Our CultureWe believe in engaging at a world-class level. The journey from 0 to 1 and from 1 to 1000 is akin to a professional sport, where unwavering excellence is our benchmark. We understand that pioneering technologies require complete ownership. Significant achievements occur when individuals commit to making them happen.Who You AreIf your goal is simply to complete tasks from 9 to 5, this position is not for you. If you prefer academic writing, this role isn’t for you either. However, if you are ready to dive in, embrace challenges, and create something from scratch that has a direct impact on countless lives and drives substantial revenue, then you may be the right fit.The ideal candidate is a talented builder—intelligent, ambitious, resourceful, self-directed, meticulous, driven, and humble. Sound rare? It is, which is why we have only found 30 like-minded individuals, and we're eager to discover more.Work EnvironmentAll full-time engineering roles require in-person attendance five days a week in San Francisco or Miami.

About UsAt doss, we are pioneering the future of operational efficiency with our innovative platform, often referred to as the “Terraform for operators.” We are developing an AI-driven schema layer that powers a customizable data warehouse, enabling physical-goods companies to rapidly adapt their record systems in alignment with the evolving pace of their business operations.Imagine leveraging AI foundation models for seamless schema migrations, achieving real-time observability across operational and financial data, managing complex git versioning for schema and data changes, and creating workflows that are as flexible as infrastructure code.Your RoleCollaborate closely with design teams and fellow engineers to rapidly develop intuitive and lightning-fast web experiences.Play a crucial role in shaping the technical roadmap by prioritizing features that enhance customer-facing experiences.Develop adaptable infrastructure and components that can scale in a composable software environment, similar to tools like Retool, Airtable, Zapier, and Figma.Design a versatile entity-attribute-value (EAV) data model and schema-as-code platform that supports customer instances while ensuring transactional integrity.Your SkillsAbility to initiate and execute projects in ambiguous environments, transitioning from zero to one.Proficient in Typescript, React, NextJS, and Tailwind CSS.Familiarity with GraphQL, Postgres, ORMs, and Node (Express).Comfortable utilizing internal APIs to construct complex front-end interfaces and components.Knowledge of various databases including Postgres, Elasticsearch, DuckDB, and Memgraph.Who You AreTeam Player: You foster positivity, openness, and curiosity within the team.Growth Mindset: You view every challenge as an opportunity to learn and enhance yourself, your team, and the organization.Craftsmanship: You take pride in delivering high-quality work.Customer-Centric: You prioritize the customer experience and aim to create delightful products.Pragmatic: You make informed decisions based on circumstances rather than strict theories.Low Ego: You thrive in collaborative settings where team support is paramount.

Calling All Ambitious Fullstack Engineers!At Silver.dev, we are on the lookout for talented fullstack engineers who aspire to relocate to San Francisco. Our clients are ready to sponsor immigration visas, including O1, J1, and potentially L1 visas, tailored to the unique skills and profiles of exceptional candidates.This journey is not for the faint of heart. It demands resilience, unwavering dedication, and the ability to outperform local talent in quality and innovation. Only the most skilled and determined individuals will succeed in this competitive environment.If you believe you have what it takes, we invite you to join Silver.dev and showcase your expertise.

Fullstack Software EngineerLocation: San Francisco (Hybrid - In-person 2-3 days per week)Compensation: $140,000 – $190,000 + Meaningful EquityAbout HomeVisionHomeVision is at the forefront of revolutionizing the $13 trillion mortgage industry with our cutting-edge AI-driven software. Our platform, MIRA, streamlines the manual review process of mortgage documents, allowing lenders to expedite loan closures with greater ease, ultimately benefiting borrowers by saving them time, money, and reducing stress. We have successfully transformed appraisal operations for leading lenders across the country, achieving a reduction in review times by over 75%. Our ambitious goal is to expand MIRA's capabilities to cover the entire loan file, automating income, asset, and credit analysis, to create a comprehensive underwriting solution for the industry.At HomeVision, we seek out intelligent, inquisitive, and thoughtful individuals who relish tackling complex challenges and embracing significant responsibilities. Our engineers manage substantial projects from inception to launch, working closely with product, design, and go-to-market teams. We prioritize humility, ownership, transparent communication, and mutual respect. Our ethos revolves around fostering a collaborative environment where we always strive to “do the loving thing” in our interactions with one another and our clients and partners.About the RoleWe are on the lookout for a Fullstack Engineer to integrate into our core product team in San Francisco. In this role, you will collaborate directly with our founders, designers, and machine learning engineers to construct the interfaces and infrastructure that drive MIRA. This is not a role focused on maintaining legacy code; instead, you will be responsible for architecting new features that facilitate understanding and action on complex AI-driven decisions by real users.What You Will DoShip Product End-to-End: Take ownership of features from database schema to user interface components. You'll create the interfaces that underwriters utilize to engage with our AI, rendering complex data intuitive and actionable.Architect for Scale: Design and implement robust solutions using Go and PostgreSQL to manage intricate loan file data, ensuring high availability and minimal latency as we scale to millions of documents.Bridge the AI Gap: Collaborate closely with our ML team to integrate AI services into our core SaaS platform, ensuring seamless transitions between our decisioning models and the user application.Elevate Engineering Culture: Foster continuous improvement by advocating for code reviews, crafting clean design documentation, and enhancing observability (metrics/logging) to maintain high velocity and stability in our production environment.

About KreaAt Krea, we are revolutionizing the world of creativity through next-generation AI tools designed specifically for creatives. Our mission is to empower artistic expression by making AI intuitive and manageable, ensuring it enhances rather than replaces human creativity.We envision AI as a versatile medium that enables self-expression across diverse formats including text, images, video, sound, and even 3D. At Krea, we are dedicated to developing smarter tools that harness this exciting medium effectively.Your Role:Develop and sustain APIs and user interface flows for web and mobile applications using Svelte/SvelteKit and TypeScript.Create engaging and responsive front-end experiences, including drag-and-drop functionality, real-time canvas interactions, and seamless UI animations.Enhance front-end performance by minimizing render latency, utilizing virtual DOM techniques for profiling, and ensuring smooth WebSocket image streams.Design and maintain backend services using Node.js, along with database models incorporating Postgres and Redis caching strategies.Initiate a Public API project aimed at making Krea's AI models accessible to millions of developers.Troubleshoot HTTP/3 and WebSocket issues from both client and server perspectives.Drive real-time image and video generation pipelines with low-latency APIs.Improve system observability and alerting using OpenTelemetry tools.Implement enterprise-level features such as Audit Logs, SAML/SSO, and SCIM provisioning.Bonus: Scale our infrastructure architecture by leveraging your deep understanding of AWS EKS GPU clusters or Kubernetes operators.

Join OneCrew as a passionate and skilled Fullstack Software Engineer. In this dynamic role, you will collaborate closely with our co-founders and engineering team to shape and enhance our product and platform as we expand our customer base.Location: This position is located in San Francisco, with an expectation of in-office work at our FiDi office for at least 3 days a week.Your RoleYour main focus will be to create dependable, high-performance systems and features that empower paving contractors to run their businesses with efficiency and confidence.Design, develop, and deploy innovative products and features—including AI-driven automation—that transform how contractors estimate jobs, manage teams, and monitor profitability in real-time.Implement AI-enhanced functionalities that redefine industry standards, offering intelligent estimating, predictive crew optimization, and automated insights that facilitate quicker decision-making for contractors.Take charge of system reliability and performance, ensuring our platform is secure, observable, automated, and scalable to support our growth.Collaborate across engineering, product, and design teams to turn innovative ideas into elegant, user-friendly solutions.Continuously improve our technical standards and processes—from testing and deployment to documentation and code reviews—to enhance our development workflow.Foster a culture of craftsmanship and teamwork, contributing to the growth and learning of our team.Your ProfileYou are a high achiever who sets and maintains rigorous standards for yourself and your peers.You excel in collaborative problem-solving, adept at managing multiple priorities.You pursue simplicity and elegance in your solutions, knowing when to invest time and when to prioritize agility.You balance hands-on involvement with empowering your team to succeed.Qualifications3-6+ years of software engineering experience in a fast-paced environment.Familiarity with the NodeJS, React, AWS, and PostgreSQL tech stack is a plus.Authorization to work in the US is required.What We ProvideA collaborative and innovative work environment.

About DEUNA DEUNA is an innovative and fast-growing startup that is transforming global commerce with our cutting-edge AI-driven orchestration and payments platform, ATHIA. This powerful tool is designed to assist large enterprises in enhancing approval rates, minimizing costs, and discovering new revenue streams. Created by the talented team behind DEUNA—the fastest-growing Commerce OS in Latin America—ATHIA seamlessly integrates payment intelligence, checkout optimization, and data orchestration into one cohesive solution.With extensive integrations across more than 300 PSPs and alternative payment methods, and with over 20% of Mexico’s digital economy flowing through our platform, we simplify global payments through a single integration and centralized reconciliation process.As we rapidly expand into the U.S. market to address the pressing needs of large retailers, marketplaces, airlines, and quick-service restaurants (QSRs), we invite you to join us in shaping the future of payments! Visit https://www.deuna.com/ to learn more about us!

Join Sciforium, a pioneering AI infrastructure company, as we develop state-of-the-art multimodal AI models along with our proprietary, high-efficiency serving platform. With substantial multi-million-dollar funding and direct support from AMD engineers, our dynamic team is rapidly expanding to build the complete stack that powers cutting-edge AI models and real-time applications.About the RoleThis exciting position invites you to contribute to the essential systems that drive Sciforium’s multimodal AI models. You will play a vital role in constructing the model serving platform, utilizing C++, Python, runtime execution, and distributed infrastructure to establish a fast and reliable engine for real-time AI applications.This role offers hands-on experience in performance engineering, providing insight into how large AI models are optimized and deployed at scale. You will work in close collaboration with ML researchers and seasoned systems engineers. If you are passionate about creating exceptional Developer Experiences, are committed to performance excellence, and seek exposure to the entire AI stack, this position promises impactful work and significant growth opportunities.Your ResponsibilitiesInteractive AI Chat Interface: Design and implement a low-latency, chat-like interface for users to explore our LLMs.Developer Console: Develop the essential UI enabling users to generate API Keys, set budget limits, and visualize real-time usage graphs.Payments & Billing: Integrate Stripe or a similar service to manage complex subscription models.Documentation Portal: Create a dynamic API reference section for users.CLI/SDK Integration: Develop user-friendly client-side wrappers to facilitate seamless connections to our API endpoints.Backend APIs: Construct secure API gateways and implement low-latency streaming solutions.Ideal Candidate ProfileBachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).3+ years of software engineering experience, focusing on front-end development.Strong proficiency in Typescript and Python.Familiarity with responsive design and UX fundamentals.Excellent collaboration and communication skills, with the ability to work effectively across engineering and ML teams.

About UsLightning AI is the driving force behind PyTorch Lightning, established in 2019. We are dedicated to creating an all-inclusive platform for developing, training, and deploying AI systems, aimed at facilitating the transition from research to production seamlessly.Our merger with Voltage Park, an innovative neocloud and AI Factory, allows Lightning AI to deliver developer-centric software alongside cost-effective, large-scale computational resources. We provide teams with the essential tools for experimentation, training, and production inference, all while ensuring security, observability, and control are inherently integrated.We cater to individual researchers, startups, and large enterprises alike. With a global footprint, Lightning AI has offices in New York City, San Francisco, Seattle, and London, and is proudly supported by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.Our Core ValuesAct Swiftly: We prioritize speed and clarity, breaking down complex challenges into manageable steps.Concentration: We focus on one objective at a time, working collaboratively as a team to deliver features with precision.Equilibrium: We believe that sustained performance is achieved through rest and recovery, promoting a healthy work-life balance.Excellence: We innovate through mastery. Every detail matters, and we take pride in our craftsmanship.Simplicity: We drive our innovation through simplicity, eliminating unnecessary complexities and concentrating on what is truly essential.Position OverviewWe are seeking a Fullstack Engineer to enhance and scale the Lightning AI platform, covering everything from the frontend and CLI, to API, billing, security, and integrations.The ideal candidate will take ownership of key features and oversee development from conception to completion while collaborating with a highly skilled team of engineers, product managers, and designers. Here, you will transition from proof of concept to deployment, emphasizing speed, quality, and iterative improvement.This is your chance to create revolutionary technology that will reshape the machine learning landscape! This hybrid role is based in our San Francisco office, requiring in-office attendance 2 days per week. The salary range for this position is $120,000 to $250,000.

About Us:At Point One Navigation, we are pioneering the future of precise location technology. Our vision is to create a cohesive location platform that fosters autonomy, enhances safety, and drives efficiency across various sectors, including robotics and transportation. Our team is characterized by high performance and collaboration, dedicated to tackling intricate challenges, accelerating development, and making a significant impact.The Role:We are on the lookout for a Senior Fullstack Engineer to become an integral part of our Applications team. In this role, you will design and develop user-friendly interfaces, implement sophisticated interactive features, and craft seamless user experiences for our web applications and mapping solutions.What You'll Do:Design and develop responsive web and native applications using React, TypeScript, and cutting-edge frontend technologies.Create and maintain component libraries and design systems to ensure product consistency.Collaborate closely with design teams to translate wireframes and mockups into top-tier interactive interfaces.Enhance application performance, accessibility, and cross-browser compatibility in production environments.Work in tandem with backend engineers to integrate APIs and implement comprehensive product features.Engage in code reviews, technical planning sessions, and cross-functional product development initiatives.

About DEUNA Join a dynamic and fast-growing startup that is redefining global payments and empowering the future of commerce through a unified platform. We offer a comprehensive suite of products that consolidate numerous payment solutions into a single integration, utilizing an intuitive payment orchestration system while centralizing payment reconciliation. With our footprint across LATAM, we are on the lookout for exceptional talent to help us continue revolutionizing the payments landscape! We are seeking a highly motivated and talented Full Stack Developer to join our technology team. This role entails being part of our integration cell, which manages integrations with various platforms such as Shopify, Magento, and VTEX. You will be responsible for developing payment connectors and web applications, collaborating with designers, software engineers, and other team members to provide comprehensive end-to-end solutions.

About WorkWhileAt WorkWhile, we are dedicated to transforming the lives of hourly workers by providing them with opportunities for better earnings and improved living standards. With over 80 million Americans engaged in hourly employment, the unpredictability of their schedules and minimal benefits often leads to financial uncertainty.Our mission is to revolutionize frontline work by fostering a flexible and efficient labor market. Leveraging AI technology, the WorkWhile platform allows businesses to swiftly connect with top-tier talent, while workers enjoy benefits such as same-day pay, complimentary telehealth services, professional development, and the freedom to select shifts that align with their skills and schedules.With the bold ambition to align interests and eliminate inefficiencies in the labor market, we are poised to disrupt a $650 billion staffing and recruiting industry. Supported by Khosla Ventures and recognized by Inc. 5000 for our remarkable growth, WorkWhile is setting the stage for the future of work.

About the RoleJoin us as a technical pioneer as we develop the machine learning and AI infrastructure that powers Known, an innovative dating platform that merges psychology, data analytics, and conversational AI. Your mission will be to create and deploy systems that deliver a truly magical experience—transforming how users find meaningful connections through personalized matching algorithms, adaptive recommendation systems, and engaging natural voice interactions.Collaborating closely with our founding team across product, platform, and design, you will play a crucial role in establishing the data and ML foundations that set Known apart from the competition. This hands-on position demands ownership of the research, prototyping, and production deployment processes.