Senior Applied Scientist - AI/ML

About UsWealth.com stands at the forefront of estate planning technology, empowering over 1,000 wealth management firms to revolutionize their client interactions regarding estate planning. As the only technology-driven, comprehensive platform tailored specifically for financial institutions, Wealth.com enables firms to achieve scalability, efficiency, and m…

Team OverviewBe part of an elite team leading the charge in AI and biochemistry innovation.At Genesis Molecular AI, our close-knit group comprises distinguished deep learning researchers, software engineers, and pioneers in drug discovery. Together, we are on a mission to create next-generation AI foundation models that will pioneer transformative therapies for patients battling severe diseases.We transcend traditional machine learning applications in biology; we engage in fundamental research at the dynamic intersection of machine learning, physics, and computational chemistry, continuously pushing the boundaries of each discipline. Collaborating with top multidisciplinary researchers, you will design and develop generative foundation models at scale, benefitting from extensive computational resources and large-scale simulations.Role OverviewThis distinctive role is tailored for a scientist eager to drive the application of cutting-edge AI in addressing real-world drug discovery challenges. You will serve as a vital link between our long-term research initiatives and our active drug discovery programs. Your objective will be to build, evaluate, monitor, and enhance our advanced models directly within active drug programs, spearheading model validation, deployment, and analysis to inform the discovery of new medicines.You will function as both a translator and a strategist, aligning our research efforts with critical challenges and ensuring our drug hunters maximize the potential of our top-tier AI platform. This position necessitates a profound understanding of cheminformatics, computational chemistry, and experimental techniques, alongside robust data science skills and an ability to convey complex concepts to a diverse, multidisciplinary team.We have openings available at various seniority levels: Senior, Staff, and Principal.

Description Sprout Social is seeking a seasoned Senior Applied AI/ML Scientist to enhance our AI, Data, and Intelligence Business Unit. Why become a part of Sprout Social’s Data Science and AI team? At Sprout Social, we empower businesses globally to leverage the vast potential of social media in a digital-first landscape. Our platform processes over one billion social messages daily, delivering vital insights and actionable intelligence to more than 30,000 brands. This enables informed strategic decisions that propel business growth, foster innovation, and cultivate genuine connections with their customers. Our comprehensive suite of social media management solutions encompasses publishing, engagement features, customer care, influencer marketing, streamlined workflows, and business intelligence. We are actively integrating AI into our products and utilizing it internally to accelerate our business growth. Your Responsibilities Lead the design, development, and deployment of customer-centric features utilizing data science, machine learning (ML), and generative AI technologies. Deliver measurable impact on Sprout Social’s primary AI initiatives, enhancing customer experience and driving significant business outcomes. Create robust frameworks for assessing and measuring AI features to enhance speed, improve quality, and demonstrate ROI of product advancements. Collaborate effectively with product management, design, and software engineering teams to deliver high-quality AI solutions swiftly and confidently. Communicate AI capabilities, limitations, and product implications effectively, ensuring alignment among technical possibilities, customer needs, and product vision. Your Qualifications We are looking for a highly skilled and experienced AI/ML scientist who thrives on challenges, maintains a growth mindset, and is eager to collaborate with diverse stakeholders to deliver data-driven solutions for business leaders and Sprout Social’s customers. If you excel in experimenting with and applying AI/ML techniques, continuously enhancing capabilities, and driving innovation with a focus on customer value, we would love to connect with you! The minimum qualifications for this role include: A proven track record of leading customer-focused development of AI/ML solutions that resulted in quantifiable business impact.

About FaireFaire is revolutionizing the wholesale marketplace, advocating for local businesses by connecting independent retailers worldwide. We believe in the power of local entrepreneurship, where independent shops can thrive and compete against giants like Walmart and Amazon. Our innovative technology, data analytics, and machine learning empower these businesses to discover unique products that resonate with their communities. By supporting local economies, we are committed to driving positive change globally. Join us in our mission to empower local businesses and make a difference!About this RoleAs a vital member of our Ads Data team, you will play a crucial role in developing cutting-edge advertising solutions for the wholesale sector. You will influence the design and functionality of our auction system, focusing on bidding strategies, pacing, pricing, and budget optimization. Utilizing our proprietary conversion data, you will train models that yield significant business outcomes for our partners. This is an exceptional opportunity to make a substantial impact in a rapidly growing division that is a key strategic focus for Faire.Collaborating with engineers, product managers, and designers, you will contribute to systems that not only demonstrate technical sophistication but also enhance profitability for both our brands and Faire.

Title: Applied Scientist - AI/ML InternshipLocation: Remote/United StatesAbout UsWealth.com stands as the premier estate planning platform, empowering over 1,000 wealth management firms to transform their client communications regarding estate planning. As the sole tech-driven, comprehensive platform tailored for financial institutions, Wealth.com facilitates scalability, efficiency, and significant client outcomes. Trusted by major financial players, Wealth.com integrates proprietary AI, stringent security measures, and extensive technological and legal expertise to cater to diverse client needs, from foundational plans to intricate estate strategies. Our accolades include Top Estate Planning Technology and Top Estate Planning Implementation at the 2025 WealthManagement.com Industry Awards, the 2024 Best Technology Provider in the Trust category, and the #1 position in estate planning market share in the 2025 Kitces AdvisorTech Study.Our team is crucial to our reputation as the leading estate planning platform. We foster a collaborative and nurturing environment that encourages innovation, making Wealth.com an enjoyable place to work. We are proud to have earned the Great Place to Work certification for 2025.The OpportunityAre you eager to gain meaningful, hands-on experience in AI/ML? Our Wealth.com Technology Internship Program provides aspiring professionals with practical insights into leveraging cutting-edge advancements in Large Language Models (LLM), Computer Vision (CV), and Natural Language Processing (NLP) within the legal and financial technology sectors.As an Applied Scientist Intern, you will collaborate closely with Software Engineers and other Applied Scientists on a wide array of AI projects. By utilizing a combination of advanced natural language and vision models, you will contribute to the development of sophisticated legal AI assistants.

About FaireFaire is a dynamic online wholesale marketplace that champions the belief in a localized future. Independent retailers worldwide are generating more revenue than industry giants like Walmart and Amazon combined; however, on their own, they remain small. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs globally. Imagine your favorite local boutique — we empower them to discover exceptional products from around the world to offer in their stores. With the right tools and insights, we believe we can create a level playing field so that small businesses everywhere can compete with the massive retail and e-commerce entities.By fostering the growth of independent businesses, Faire positively impacts local economies globally. We seek intelligent, resourceful, and passionate individuals to join us in fueling the shop local movement. If you believe in community, we invite you to become a part of ours.About this RoleThe Ads Data team is developing the next generation of advertising solutions for the wholesale sector. As an integral member of this team, you will spearhead the machine learning algorithm strategy and system architecture that drives one of the most vital components for customer value and corporate growth—Search Ads. You will lead the development of real-time systems that determine which ads to display for a given query, their placement, and how to optimize for relevance, marketplace health, and advertiser performance. This role parallels many technical expectations of Faire's organic Search positions (including modern NLP/LLMs, query understanding, real-time ranking), while functioning within an advertising context featuring auctions, budgets, and pacing constraints.You will work at the cutting edge of algorithms, blending large language models, natural language processing, query understanding, deep learning, and structured behavioral data to deliver highly relevant sponsored results for any query.

Anthuria creates AI tools for skilled nursing facilities, turning detailed clinical notes into usable insights that support patient care, reimbursement, and compliance. The team includes healthcare industry veterans who understand the real-world challenges of clinical operations. With support from a healthcare-focused family office, Anthuria already works with 180 facilities across more than 10 states. Collaboration, curiosity, and technical excellence shape Anthuria’s culture. Team members have a direct influence on technical direction, company practices, and the products themselves. The company values open communication and aims to deliver practical value to clients. Role overview The Senior AI Applied Scientist role is based in New York City. This position is part of Anthuria’s early-stage technical team, offering the chance to influence both product and culture. What you will do Develop AI-driven features: Collaborate with cross-functional teams to design and build AI-powered tools that improve post-acute care operations. Write production-grade Python code and combine software engineering with machine learning to deliver reliable solutions. Manage evaluation frameworks: Define evaluation methods and metrics for AI systems. Test, monitor, and assess model performance to support rapid iteration and high-quality product delivery. Analyze requirements and user behavior to align with strategic goals. Foster a metrics-driven culture: Build data pipelines, product analytics, and experimentation processes that keep the team focused on measurable results. Communicate technical concepts clearly to stakeholders from various backgrounds. Ensure compliance and data security: Integrate security and HIPAA-grade compliance into every AI system, pipeline, and experiment to protect sensitive patient data as Anthuria grows. Advance AI innovation: Stay active in research, learn from customer workflows, and contribute ideas to improve Anthuria’s AI solutions.

About the RoleSprout Social is seeking a talented Applied AI/ML Scientist to be a pivotal part of our AI Business Unit. In this role, you will engage in the design and implementation of cutting-edge customer-centric features utilizing data science, machine learning (ML), and generative AI technologies.Why Join Sprout Social’s Data Science and AI Team?At Sprout Social, we empower businesses to leverage the vast potential of social media in today's digital landscape. Our platform processes over 1 billion social messages daily, providing essential insights to over 30,000 brands. We drive strategic decisions that enhance business growth and foster authentic customer connections. Our comprehensive suite encompasses publishing, engagement solutions, customer care, influencer marketing, and business intelligence. We are committed to seamlessly integrating AI into our products and internal processes to accelerate our growth trajectory.Your ResponsibilitiesDesign and deploy innovative AI-driven features focused on customer needs.Contribute to impactful AI initiatives that benefit both our customers and our business goals.Establish robust evaluation frameworks for AI features, ensuring demonstrable ROI on product enhancements.Collaborate with product management, design, and engineering teams to deliver high-quality AI solutions efficiently.Communicate clearly about AI capabilities and limitations, aligning technical possibilities with customer needs and product vision.

Join Demandbase as an Applied AI Scientist, where you'll have the opportunity to push the boundaries of AI technology in a dynamic and innovative environment. As a key member of our team, your role will involve developing and implementing advanced AI solutions that drive impactful business results.We're looking for a passionate individual who thrives on solving complex problems and is eager to contribute to AI advancements. You will collaborate with cross-functional teams to integrate AI models into our existing frameworks and enhance our product offerings.

About UsAt Hippocratic AI, we are at the forefront of generative AI in the healthcare sector. Our innovative platform excels in facilitating safe, autonomous clinical conversations with patients, utilizing our proprietary LLMs within the Polaris constellation, achieving an unparalleled accuracy rate of over 99.9%.Why You Should Join UsLead the Revolution in Healthcare AI. We are developing the world’s first healthcare-specific, safety-centric LLM, aimed at significantly enhancing patient outcomes worldwide. This is an opportunity to be part of a groundbreaking initiative.Collaborate with Visionaries. Co-founded by CEO Munjal Shah and a team of esteemed professionals including physicians, hospital executives, AI innovators, and researchers from prestigious institutions like Johns Hopkins and Stanford, you will be working alongside the best minds shaping the future of healthcare.Join Our Well-Backed Venture. We recently secured a $126M Series C funding round, elevating our valuation to $3.5B with total funding reaching $404M, supported by top-tier investors such as Avenir Growth and a16z.Be Part of a Transformative Team. Work with experts dedicated to advancing healthcare, improving care quality, and pioneering technologies that make a real difference.Location RequirementWe believe that collaboration fosters innovation. This role requires you to be present at our Palo Alto office five days a week to cultivate a strong team culture.About the RoleAs a Senior Applied Scientist, you will oversee the RL-based post-training pipeline to enhance our models' clinical reasoning, safety, and alignment in healthcare applications. Your contributions will directly impact millions of patients across various clinical contexts.Your ResponsibilitiesDesign and refine RL-based post-training strategies including RLHF, RLVR, and DPO.Develop and assess reward models, verifiers, and LLM-as-judge systems.Create conversational AI environments and simulations for healthcare RL training utilizing synthetic data.

About FaireFaire is a pioneering online wholesale platform that champions local economies. Independent retailers around the world are generating more revenue than giants like Walmart and Amazon combined, yet they often lack the resources to compete. At Faire, we leverage cutting-edge technology, data analytics, and machine learning to empower these small business owners. Imagine your beloved local boutique; we connect them with exceptional products from various parts of the globe. With our innovative tools and insights, we strive to level the playing field, enabling small businesses to thrive against corporate giants.By fostering the growth of independent businesses, Faire is creating significant positive economic impacts in local communities worldwide. We are seeking intelligent, resourceful, and passionate individuals to join us in driving the shop local movement. If you believe in the power of community, we invite you to become a part of ours.About this RoleThe Ads Data team is at the forefront of developing next-generation advertising solutions for the wholesale sector. As a vital contributor to this team, you will spearhead the machine learning algorithm design and strategy that drives one of the most pivotal components of customer value and company growth—Search Ads. You will oversee the development of real-time systems that determine ad placements for specific queries, optimizing for relevance, marketplace health, and advertiser success. This role encompasses many technical aspects akin to Faire’s organic Search roles, including modern NLP/LLMs, query understanding, and real-time ranking, while functioning in an advertising context with auctions, budgets, and pacing constraints.You will be at the cutting edge of algorithm development, merging large language models, natural language processing, query comprehension, deep learning, and structured behavioral data to deliver highly pertinent sponsored results for any search query.What You'll DoLead and enhance the Search Ads relevance stack, including query understanding, targeting, candidate generation, multi-stage ranking, and calibration, while achieving strict latency and reliability objectives.Design and implement machine learning models that enhance the relevance and personalization of sponsored results, utilizing a mix of unstructured signals (text/images where applicable), LLM-based representations, and structured marketplace features.Collaborate closely with engineering and product teams to integrate relevance improvements into our advertising solutions.

Senior Applied AI Evaluation ScientistLocation: Remote (U.S.)Team: AIML Quality — reporting to Engineering leadershipLevel: Senior (Individual Contributor)About JumpAt Jump, our mission is to empower financial advisors, firms, and clients to flourish in the era of artificial intelligence. We streamline meeting preparation, note-taking, compliance documentation, CRM updates, client recaps, and follow-up tasks, enabling advisors to manage meetings in a matter of minutes rather than hours. Since our inception in January 2024, Jump has expanded to over 30,000 users across various firms, from independent practitioners to large enterprise RIAs and broker-dealers, including collaborations with renowned partners like LPL Financial, Sanctuary Wealth, and Osaic.Jump is a Series A company backed by $30 million in venture capital from leading investors such as Battery Ventures, Citi Ventures, Sorenson Capital, and Pelion Venture Partners. Our diverse team of over 100 includes industry leaders from prestigious organizations such as Google, Stripe, JP Morgan, Snowflake, Fidelity, BILL, Apple, Harvard, and Stanford.Our Core Values: Velocity, World Class, Direct and Kind with No Drama.About the RoleWe are seeking a highly skilled Applied AI Evaluation Scientist who operates at the crossroads of data science, information retrieval, machine learning, and product development. In this role, you will be responsible for ensuring the quality and reliability of our AI/ML systems by developing, implementing, and overseeing rigorous evaluation frameworks. Your primary focus will be optimizing our Agentic Retrieval-Augmented Generation (RAG) pipelines—enhancing the processes of chunking, embedding, retrieving, ranking, and generating outputs, while also evaluating other AI/ML systems within the organization.The ideal candidate will possess the insight to discern what merits evaluation and what does not, along with the statistical expertise to ensure that the evaluations conducted are robust, realistic, and actionable. A key aspect of this position involves balancing resource availability with velocity—understanding what metrics to track and how to measure them to foster improvements for our clients is essential.You will collaborate closely with our Product and Engineering teams. While your code may not be production-ready, it must achieve the intended results—think research-quality Python, clear documentation, and reproducible experiments, rather than fully developed microservices.

Faire connects independent retailers and brands worldwide through a technology-driven wholesale platform. The company’s mission centers on helping local businesses thrive by using data and machine learning to bring efficiency and insight to a traditionally fragmented market. Faire’s tools make it easier for boutiques to discover products globally and strengthen their communities. Role overview The Senior Applied AI/ML Scientist - Fulfillment joins Faire’s Data team, which builds and maintains a range of algorithms powering the marketplace. This team’s work helps small retailers compete by delivering advanced machine learning solutions and actionable insights. This position focuses on logistics and fulfillment challenges. Key areas include optimizing freight costs, determining credit limits for retailers, and expanding Faire’s retailer base through improved search engine optimization and personalized landing pages. Predicting retailer lifetime value is also a core responsibility, supporting business and product decisions. What you will do Develop and refine machine learning models for logistics and freight cost optimization Design algorithms to set optimal credit limits for retailers Enhance retailer acquisition by improving SEO and personalizing landing pages Predict retailer lifetime value to guide business and product strategy Work closely with fellow AI/ML scientists, engineers, and product managers to deliver impactful projects using marketplace data Team and culture The Data team includes scientists and engineers with experience at companies such as Uber, Airbnb, Square, Facebook, and Pinterest. Faire values resourcefulness, intelligence, and a commitment to supporting local communities. Team members contribute directly to Faire’s mission, shaping the future of independent retail with advanced machine learning. Location San Francisco, CA

Join UiPath as a Principal Applied Scientist - AIAt UiPath, we are champions of automation, revolutionizing the way businesses operate through innovative enterprise software solutions. Our team's passion for curiosity, generosity, and authenticity drives us forward in this dynamic environment.Are you ready to make a significant impact?As a Principal Applied Scientist at UiPath, you will spearhead advancements in machine learning, laying the groundwork for groundbreaking product developments. This pivotal leadership role melds applied research, engineering, and strategic insight, allowing you to shape the trajectory of our cutting-edge ML projects.We are on the lookout for a scientist who has demonstrated success in leading influential research and implementing pioneering machine learning systems at scale. A deep curiosity about AI and ML, a commitment to innovation, and a passion for addressing real-world automation challenges are essential for this role.The ideal candidate should possess extensive experience in designing and executing sophisticated experiments, developing high-performance ML systems, and mentoring teams. We highly value collaboration, humility, technical excellence, and a proactive approach to problem-solving.Background:This position is within the UiPath advanced machine learning research group, focused on creating large multi-modal models that mimic human software interaction. Our goal is to expand the horizons of AI in the quest for effective general intelligence for enterprise automation.Your Responsibilities:Direct the design and implementation of state-of-the-art machine learning and deep learning systems for practical applications.Drive innovation in NLP, NLU, NLG, computer vision, and multi-modal learning to achieve significant advancements in software automation.Define and guide the strategy for scalable ML infrastructure and the transition from research to production.Design experiments, perform comprehensive benchmarking, and analyze large datasets to assess and enhance model performance.Collaborate extensively with engineering, product, and research teams to effectively integrate ML solutions into UiPath offerings.

At Runway, we are revolutionizing AI by merging art and science to simulate the world. Our vision is that world models represent the cutting edge of progress in artificial intelligence. We recognize that language models alone are insufficient to tackle the most significant challenges facing humanity — from robotics to disease control and scientific breakthroughs. To achieve real progress, we need models that can perceive the world and learn from their experiences, much like humans do. This learning process can be significantly expedited through simulation rather than real-world trial and error.These world models pave the way for general-purpose simulations, transforming storytelling, scientific discovery, and human advancement.Our team is composed of innovative, open-minded, and driven individuals committed to making a difference. We strive to build extraordinary things, and our success hinges on assembling an exceptional team. If you share our ambition, we would love to connect with you.About the RoleWe are seeking Applied Research Scientists to contribute to the development of advanced computer vision and generative models that will enhance our creative tools. Ideal candidates will have a solid background in creating impactful and innovative machine learning projects, alongside strong software engineering capabilities. A genuine interest in translating research into practical applications within user interfaces for creative tasks is essential.This role involves collaboration across various teams, requiring excellent communication skills. You will work closely with our backend team to implement your research models in production, as well as with our design and frontend engineering teams to ensure that your machine learning models integrate seamlessly with user interfaces.

Pivotal Health creates technology that helps healthcare providers secure fair reimbursement, addressing the challenges of underpayments and complex administrative processes. The company’s AI-driven platform streamlines the process of contesting underpaid claims, reducing the workload for provider teams. With solutions like Independent Dispute Resolution (IDR), the team continues to develop tools that improve clarity and control for provider reimbursement. Role overview The Senior Applied AI/ML Engineer will design and enhance AI systems that support Pivotal Health’s main products and operations. Reporting to the Head of AI/ML Engineering, this position centers on building practical, applied solutions. Projects may involve document generation, dynamic offer engines, or advanced decision-making systems, depending on team needs and individual expertise. This role is well suited for engineers who enjoy transforming ambiguous problems into working systems that deliver measurable impact. Backgrounds in machine learning engineering or data science, especially those involving experimentation, optimization, or marketplace dynamics, are a strong fit. Motivation to deliver real, working solutions is essential. The team values an AI-first mindset and encourages applying AI throughout engineering, analysis, debugging, and iteration. The ideal candidate will help foster this AI-native approach within the group. Main responsibilities Develop and improve applied AI and machine learning systems that affect key business workflows. Build and refine production workflows for generation, decision-making, retrieval, evaluation, and orchestration. Location Santa Monica, CA

SentiLink is at the forefront of delivering cutting-edge identity and risk management solutions, providing both individuals and institutions the ability to transact with assurance. We are revolutionizing identity verification within the United States, replacing outdated, inefficient, and costly practices with solutions that are ten times faster, smarter, and more precise.Our rapid growth is a testament to our innovative approach; our real-time APIs have successfully verified hundreds of millions of identities, initially focusing on the financial sector and quickly expanding into various new markets. SentiLink enjoys the support of prestigious investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.We are proud to have received accolades from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker, and we have been featured in the Forbes Fintech 50 list every year since 2023. Notably, we made history as the first company to deploy the eCBSV and have testified before the United States House of Representatives regarding the future of identity verification.SentiLink accommodates a flexible work environment, ranging from fully remote positions to in-office roles. As a digital-first company, we emphasize collaboration across teams in the U.S. and India. We have physical locations in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., alongside offices in Gurugram (Delhi) and Bengaluru in India. For those near our offices, we encourage regular office attendance. Certain roles, such as our engineering team in India, are designed to be primarily in-office.Role Overview:As a Senior Applied ML Scientist at SentiLink, you will be instrumental in developing our core products: advanced models aimed at identifying fraudulent activities while enhancing our expanding array of financial risk solutions. Your expertise as a seasoned researcher will be essential, making you the authoritative figure in your domain. You will frequently engage in high-impact projects that necessitate a profound understanding of the field, critical analytical skills, and robust technical capabilities. Collaboration with various teams across the organization will be key as you investigate new fraud types, innovate product offerings, and conduct analyses to support our sales and marketing efforts.

Join Cerebras Systems as an AI/ML Research Scientist and be part of a pioneering team at the forefront of advanced technology. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop innovative solutions that will revolutionize the field. Collaborate with top-tier researchers and engineers to push the boundaries of what's possible.

Join Our Team as a Senior Applied Scientist!At Gridware, we are on a mission to revolutionize grid management through innovative technology. Based in San Francisco, we are pioneering a cutting-edge approach known as Active Grid Response (AGR). This initiative focuses on enhancing the reliability and safety of the electrical grid by monitoring its electrical, physical, and environmental parameters. Our advanced platform leverages high-precision sensors to identify potential issues early, facilitating proactive maintenance and minimizing outages. Backed by leading climate-tech and Silicon Valley investors, we are poised to make a significant impact in the energy sector. For more insights on our work, visit www.Gridware.io.Role Overview:We are looking for a talented Senior Applied Scientist with a strong background in machine learning and digital signal processing (DSP). In this role, you will be responsible for designing sophisticated models that operate on diverse time-series sensor data within resource-constrained environments. Your work will involve developing algorithms that optimize for accuracy while adhering to strict power and memory constraints, thereby advancing Gridware’s edge intelligence capabilities. This position requires a blend of applied research, model optimization, and close collaboration with hardware and firmware teams to implement low-level solutions.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable, steerable representations of enterprise data.We establish trust through Crunch, a policy-driven health layer optimizing large tabular datasets for efficiency, reliability, and reversibility. Utilizing this foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures, delivering trustworthy answers and automation with integrated provenance and governance.Our MissionCurrent AI capabilities are hindered not only by model design but also by the inefficiencies of the data that supports it. At scale, each redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage groundbreaking research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructure: systems that continually enhance how information is represented and utilized by AI.Led by Prof. Andrea Montanari from Stanford, Granica’s Research group merges advances in information theory with learning efficiency in large-scale distributed systems. We collectively believe that the next significant leap in AI will originate from innovations in efficient systems, rather than merely larger models.Granica is at the forefront of developing a new category of structured AI models: foundational models designed to learn and reason from the relational, tabular, and structured data that drives the global economy. While many focus on unstructured text or media, we are venturing into the next frontier: systems capable of comprehending and reasoning over structured information.Your ContributionsCreate and prototype algorithms that form the core of structured AI, enhancing representation learning and efficient information modeling for enterprise and tabular data at petabyte scale.Develop adaptive learners merging statistical learning theory with systems optimization at scale, contributing to a new generation of foundational models for structured information.Design architectures that unify symbolic, relational, and neural components, enabling AI systems to reason directly over structured enterprise data.Construct cost models and optimization frameworks that enhance the efficiency of structured learning, both computationally and economically.