Graph Engineer

Our Story: The rapid rise of intelligent technologies, fueled by automation, AI, machine learning, and knowledge graphs, is transforming the landscape of how we interact with data. At Adapter, our mission is to make these powerful tools accessible, dependable, and beneficial for everyday users. Founded in 2022 by Adam Ghetti and Dr. David Bader, with backing…

Join Point72 as a Knowledge Graph Engineer and be at the forefront of data innovation. In this role, you will leverage your expertise in knowledge graphs to enhance our data-driven decision-making processes. Collaborate with data scientists and engineers to design and implement scalable graph-based solutions that will shape the future of our analytics.

Join Point72, a leading investment firm, as a Data Engineer focusing on Knowledge Graphs. In this dynamic role, you will leverage your data engineering skills to innovate and enhance our data systems, facilitating impactful financial decisions. Collaborate with cross-functional teams to design and implement scalable data solutions that will drive our investment strategies forward.

Babel Street seeks a Knowledge Graph Engineer based in Reston, VA or Somerville, MA. This position centers on building and improving AI-powered data analytics tools that help organizations manage identity and risk. The work supports both government and commercial clients, with a focus on identifying risks early, integrating data efficiently, and safeguarding people and assets around the world. Key responsibilities Design and implement knowledge graph solutions that advance identity intelligence and risk assessment. Work with structured, analysis-ready data to provide clients with clear, actionable insights. Ensure analytics tools integrate smoothly into client environments. Collaborate closely with a team committed to innovation and high standards in data-driven solutions. Locations Reston, VA, United States Somerville, Massachusetts, United States

About Redhorse CorporationJoin Redhorse Corporation, a forward-thinking organization dedicated to providing innovative data insights and technology solutions essential to U.S. national interests. We are in search of talented and diligent professionals eager to serve as trusted partners in crafting technology-agnostic solutions that address challenging and significant mission requirements.Position OverviewWe are on the lookout for a Senior Graph Architect to spearhead the design and deployment of enterprise-level knowledge graph solutions that significantly enhance the U.S. Government's ability to comprehend, connect, and act upon intricate data.If you are a distinguished expert in complex systems architecture with a track record of leading teams to unprecedented success, this is the opportunity for you.As the Senior Graph Architect, you will be responsible for architecting and operationalizing graph-based ecosystems across national security and defense mission environments. Your work will empower advanced entity resolution, multi-source integration, network discovery, and AI-driven insight generation at scale. Familiarity with technologies such as Neo4j, Databricks, Senzing, and GraphAware Hume is crucial, and you will continue to learn about emerging technologies in this domain, advising our Graph team in developing production-grade graph platforms that support critical analysis, operational resilience, and measurable mission impact.Ideal candidates will possess a deep understanding of both the technical components and the institutional context of defense environments. You think systemically, build for scalability, and optimize for mission results. Consulting on demonstrations is part of the role, but our success will ultimately be measured by how effectively our team delivers results for our clients and their missions.Consulting Areas Include:Enterprise Graph ArchitectureDesign and refine large-scale knowledge graph architectures that merge distributed data sources in secure settings, ensuring interoperability and scalability. Develop canonical data models that meet actual user needs, analytical workflows, and mission priorities, fostering consistent and relevant insights. Architect entity resolution pipelines with tools like Senzing, alongside scalable data processing frameworks such as Databricks, Spark, and Delta Lake, to guarantee high performance, lineage traceability, and data integrity. Operationalize graph databases like Neo4j in production settings with an emphasis on auditability, resilience, and security-by-design principles, facilitating dependable and secure mission-critical operations.

Jimmy Technologies seeks a Senior AI Engineer with a strong background in Large Language Models (LLMs) and Knowledge Graphs. This remote role supports an AI incubator serving a Fortune 50 company, where the focus is on building and testing new AI-powered solutions for internal use. The team works to develop core strategies that use Graph Neural Networks (GNNs) and Generative AI, aiming to improve workflows, semantic search, and organizational intelligence in areas like Finance, Operations, Supply Chain, Engineering, and Investments. Key Responsibilities Scout and incubate new AI concepts tailored for enterprise environments Validate innovative ideas by applying deep expertise in Knowledge Graphs and LLMs to business challenges Work with GNNs and Generative AI to support data-driven decisions Contribute to transforming processes and enhancing search capabilities across multiple departments Work Location and Hours This is a remote-first position Requires regular overlap with US working hours (2–6 PM CET)

Join Our Mission to Empower Communities! At GoFundMe, we are the world's leading platform for community-driven fundraising, dedicated to facilitating connections and support among individuals and organizations. Since our inception in 2010, our community has successfully raised over $40 billion, making a significant impact in the lives of many. We are currently on the lookout for a Staff Software Engineer with substantial experience in graph theory, graph systems, and large-scale social graph architecture. In this pivotal role, you will act as a technical leader, spearheading the architectural design, implementation, and scaling of our social graph platform. This platform is essential for enhancing user trust, driving recommendations, and improving user discovery. Your collaboration with Data Science, ML, Product, and Infrastructure teams will be crucial as you design graph representations, develop ingestion and transformation pipelines, and deploy graph-based models at an extensive scale. You'll set the technical direction for leveraging connectivity, influence, and reputation signals to enhance safety, personalization, and engagement across our ecosystem. This is a hybrid position requiring in-office attendance three days per week, so candidates must be located in or willing to relocate to San Francisco, CA.

Standard Template Labs is a visionary startup operating in stealth mode, dedicated to revolutionizing IT Service and Configuration Management through the power of AI. Supported by esteemed investors, we are utilizing cutting-edge AI technologies, graph-based architecture, and superior design to redefine how enterprises interact with their technology ecosystems.About the RoleAs we expand our SaaS platform to accommodate increasingly intricate enterprise environments, the significance of our graph-based data architecture is growing. We seek a Senior Software Engineer with extensive expertise in developing and scaling graph-centric, multi-tenant data systems for large-scale SaaS applications.In this pivotal role, you will be responsible for advancing our graph data tier—designing high-performance, secure, and scalable graph models and storage strategies that facilitate complex relationships, deep querying capabilities, and insightful analytics across multiple tenants.This hands-on, impactful position will allow you to influence the technical framework of how we represent, store, navigate, and analyze interconnected enterprise data at scale.Key ResponsibilitiesGraph Data ArchitectureArchitect, refine, and optimize our multi-tenant graph data model, encompassing node/edge schema design, relationship modeling, partitioning, and traversal strategies.Establish and implement tenancy models for graph storage—balancing shared-graph versus tenant-isolated subgraphs, hybrid partitioning, or database-per-tenant graph deployments.Create robust data architecture for graph sharding, indexing, and high-throughput traversal, ensuring rapid response times for queries as the complexity and size of the topology expands.Backend & Data Layer EngineeringDevelop backend services that extensively interact with data stores, including APIs, data access tiers, ingestion workflows, and graph mutation/query pipelines.Enhance query performance through indexing enhancements, caching strategies for subgraphs, optimized traversal patterns, and distributed graph execution.Multi-Tenancy & Platform ScalabilityLead the strategic decisions surrounding multi-tenant graph architecture including tenant boundaries, access control models, resource isolation, and performance equity.Implement tooling for tenant onboarding, migrations, provisioning, graph expansion, and lifecycle management.Collaborate with cross-functional teams to ensure the successful integration of graph data architecture into our SaaS platform.

Join Us in Building a Safer World.TRM Labs specializes in blockchain analytics and AI solutions aimed at assisting law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in detecting, investigating, and curbing crypto-related fraud and financial crimes. Our state-of-the-art blockchain intelligence and AI platforms offer tools to trace the flow of funds, identify unlawful activities, build comprehensive cases, and create a detailed threat landscape. Trusted by prominent agencies and businesses globally, TRM is committed to fostering a safer environment for everyone.In the role of Senior Software Engineer within the Graph Analytics team, you will develop scalable graph systems to analyze extensive networks of cryptocurrency transactions. Your collaboration with engineers, data scientists, and investigators will be essential in designing critical graph algorithms that examine fund flows. You will utilize distributed databases and graph processors to execute real-time graph algorithms across multiple blockchains. Additionally, you will work with data science teams to explore the application of graph theory tools and techniques to various predictive learning challenges.Your Contributions Will Include:Designing and deploying graph algorithms tailored to large cryptocurrency transaction networks across multiple blockchains.Investigating innovative graph-native technologies to assess their value for TRM's data science and engineering teams.Collaborating within a cross-functional team to identify essential user stories and requirements for new graph algorithms and features in partnership with cryptocurrency investigators.Enhancing TRM’s risk models to analyze large networks of cryptocurrency transactions and assign risk scores to addresses.Effectively communicating complex implementation details to diverse stakeholders, including investigators, customer success teams, data engineers, and data scientists.Integrating various data inputs, from raw blockchain data to intricate model outputs.

Role Overview Worthai is looking for a Graph Database Administrator to help manage and optimize our graph database systems. This is a remote position based out of Miami, Florida, with the flexibility to work from home. What You Will Do Optimize and maintain graph databases to support ongoing projects Apply database management skills to ensure efficient and reliable system performance Monitor and tune database performance as needed Location Remote , Miami, Florida, United States

ABOUT MITHRLAt Mithrl, we envision a future where groundbreaking medicines are delivered to patients within months rather than years, and scientific discoveries unfold at an extraordinary pace.We are pioneering the first commercially available AI Co-Scientist, a revolutionary discovery engine that converts chaotic biological data into actionable insights in mere minutes. Scientists can pose questions in natural language, and Mithrl provides comprehensive analyses, identifies novel targets, formulates hypotheses, and generates patent-ready reports.Our remarkable growth:Achieved 12X revenue growth year-over-yearTrusted by leading biotech firms and major pharmaceutical companies across three continentsFacilitating significant breakthroughs from target discovery to improved patient outcomes.ROLE OVERVIEWWe are seeking a Data Engineer specializing in Knowledge Graphs to develop the foundational infrastructure for Mithrl’s biological knowledge layer. You will collaborate closely with the Data Scientist focused on Knowledge Graphs to convert curated knowledge sources into scalable, dependable, and production-ready systems that support our entire platform.Your responsibilities will include constructing ETL pipelines for extensive biological datasets, designing schemas and storage models for graph-structured data, and developing APIs that enable ML engineers and application teams to efficiently query and utilize the knowledge graph. Additionally, you will be responsible for ensuring the reliability, performance, and versioning of the knowledge graph infrastructure across releases.This position serves as a vital link between biological knowledge ingestion and the high-performance engineering systems that apply it. If you are passionate about data modeling, schema design, graph storage, ETL processes, and scalable infrastructures, this role offers a unique opportunity to significantly influence the intelligence layer at Mithrl.KEY RESPONSIBILITIESDevelop and maintain ETL pipelines for large-scale public biological datasets and curated knowledge sourcesDesign, implement, and refine schemas and storage models for graph-structured biological dataCreate effective APIs and query interfaces that enable internal teams and AI systems to access nodes, relationships, pathways, annotations, and perform graph analyticsCollaborate with Data Scientists to operationalize curated relationships, harmonized variable IDs, metadata standards, and ontologies.

Role Overview ServiceNow is hiring a Staff Data Platform Software Engineer with a focus on Graph technologies for the Veza team in Santa Clara. This position centers on building and refining scalable data solutions that strengthen the platform’s features and reliability. What You Will Do Design and implement data systems using Graph technologies Develop scalable solutions to support platform growth Advance data modeling and analysis to improve user experience Contribute technical expertise to drive new capabilities and innovation

Role Overview ServiceNow is hiring a Staff Data Platform Software Engineer with a focus on Graph technologies. This position is based in Santa Clara. What You Will Do Design and build scalable data solutions using graph technologies. Work closely with teams across engineering, product, and operations to improve data architecture. Deliver reliable, high-quality software that supports the ServiceNow platform. Collaboration This role involves regular collaboration with cross-functional groups to develop and refine data-driven features and infrastructure.

Join a thriving team at Extreme Networks, where over 50,000 customers worldwide rely on our innovative, cloud-driven networking solutions to elevate their digital transformation journey. Our commitment to providing top-tier services and support has positioned us as a leader in scalable networking solutions, experiencing double-digit growth year after year.At Extreme, inclusion is a fundamental value that shapes our workplace culture. We celebrate diversity and strive to create an environment where every employee flourishes because of their unique perspectives.Be part of a pioneering journey with Extreme! As a global networking leader, now is the perfect time to join our dynamic team.Position: Senior Machine Learning Engineer - Generative AI, Machine Learning, Graph ML, Big DataExperience: 5 to 14 YearsWork arrangement: Hybrid/RemoteOur AI Core group is revolutionizing platforms and solutions for Generative AI, which include AI Agents, Retrieval-Augmented Generation (RAG), Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These advancements are integral to our flagship Extreme products and are paving the way for new offerings. Together, we are transforming how organizations manage networks through the development of intelligent, high-performance multi-agent systems that can perceive, learn, and respond in real-time. At Extreme, innovation is not just encouraged; it is an expectation. Join us in shaping the future of network intelligence.

Join Us in Building a Safer World.At TRM Labs, we harness the power of blockchain analytics and AI to empower law enforcement, national security agencies, financial institutions, and cryptocurrency businesses. Our mission is to detect, investigate, and combat crypto-related fraud and financial crime. Our advanced blockchain intelligence and AI platforms are trusted globally, providing solutions to trace the source and destination of funds, identify illicit activities, build cases, and construct a comprehensive operating picture of threats.As a Senior Data Engineer on the Graph Analytics team, you will have the opportunity to design and implement scalable graph systems that analyze extensive networks of cryptocurrency transactions. Collaborating closely with engineers, data scientists, and investigators, you will craft mission-critical graph algorithms to analyze fund flows across multi-blockchain environments. Your expertise in distributed databases and graph processors will be vital in deploying real-time graph algorithms. You will also work alongside data science teams to explore the intersection of graph theory and predictive learning challenges.Your Impact Will Include:Creating and implementing innovative graph algorithms to analyze large cryptocurrency transaction networks on a multi-blockchain scale.Researching cutting-edge graph-native technologies to enhance the capabilities of TRM's data science and engineering teams.Collaborating with a diverse, cross-functional team to gather insights for developing new graph algorithms and features based on key user stories.Refining TRM’s risk models that evaluate extensive cryptocurrency transaction networks and assign risk scores to addresses.Effectively communicating complex implementation details to a variety of stakeholders including investigators, customer success teams, data engineers, and data scientists.Integrating a wide range of data inputs, from raw blockchain data to sophisticated model outputs.

About UsCyvl is an innovative tech startup located in Boston that is transforming the way governments map and manage their transportation infrastructure. Our cutting-edge hardware and software solutions utilize 3D mapping sensors to gather LiDAR, imagery, and GPS data, which is retrofitted into our clients' vehicles. This data is then processed through our AI-driven cloud pipelines to produce actionable geospatial insights, helping cities save time, money, and resources.At Cyvl, our mission is to enable governments to build and sustain public infrastructure they can take pride in, enhancing decision-making through our sensors and Infrastructure Intelligence Platform. In this role, you will be responsible for designing the knowledge architecture that interlinks everything Cyvl knows about infrastructure, converting sensor outputs, documents, public records, and regulatory standards into a cohesive graph that AI agents and analysts can query to tackle the challenging questions faced by cities.We are a dynamic, high-growth team dedicated to addressing real-world issues with authenticity, simplicity, and boldness. Each team member is encouraged to take ownership, deliver results, and make a lasting impact on the communities we serve.

Join Mendix, a Leader in Low-Code Application Development:Low-code is revolutionizing software development with its visual approach, allowing the automation of every step in the application lifecycle. Gartner forecasts that by 2024, low-code will account for over 65% of application development activities. As the global leader in enterprise low-code, Mendix is transforming how applications are created. Our platform fosters collaboration between Business and IT teams, empowering organizations to engage in the application development process. Many industry pioneers, including Ford, Zurich Insurance, Freshfields, and Red Bull, utilize Mendix to rapidly realize their innovative ideas. Mendix has consistently been recognized as a Leader in reports from Gartner and Forrester, securing the top position in the 2021 Gartner® Magic Quadrant for Multiexperience Development Platforms. About Mendix, A Siemens Business: Siemens is among the Top 10 Global Software Companies and recognized by Fast Company as one of the Most Innovative Companies in the World! Since Siemens acquired Mendix in 2018, Siemens Digital Industries Software has been at the forefront of digital transformation, enhancing the digital enterprise where engineering, manufacturing, and electronics converge to shape the future of innovation. Mendix employees thrive in a fast-paced environment backed by Siemens’ extensive resources and legacy. Position Overview: Principal Presales Consultant – Digital, Data, Analytics & AI Siemens is reshaping how businesses leverage data for actionable insights. By integrating Mendix low-code applications with advanced data, analytics, and AI platforms, we empower organizations to transition from insights to AI-driven operational impact on a large scale.With the recent acquisition of Altair Graph Studio, Siemens now provides a Knowledge Graph platform that models and interprets intricate data, facilitating the development of Generative AI, Agentic AI, and autonomous systems.We are looking for a dynamic Principal Presales Consultant to guide clients through their enterprise AI transformation journeys, aligning business challenges with Siemens’ comprehensive digital, data, and AI solutions.

About UsValo Health is a forward-thinking, AI-driven biotechnology firm dedicated to accelerating the development of innovative therapies for patients. Our flagship Opal Computational Platform revolutionizes the drug discovery process by integrating real-world data, artificial intelligence, human translational models, and predictive chemistry.Our exceptional team of biologists, chemists, and engineers harness cutting-edge AI/ML technologies to dismantle conventional R&D barriers, expediting the pace and scale of drug discovery and development.At Valo, we are passionate about attracting diverse talent, emphasizing growth and development, and fostering an inclusive atmosphere. We believe in embracing varied experiences and perspectives to advance patient-centric innovations.With our headquarters in Lexington, MA, and additional offices in New York, NY, and Tel Aviv, Israel, we invite you to explore more at www.valohealth.com.Position OverviewAs a Staff Data Scientist specializing in Graph Machine Learning, you will be at the forefront of developing and implementing advanced graph ML solutions. Your work will involve synthesizing insights from Valo's extensive data, grounded in a comprehensive understanding of medicine, molecular biology, human genetics, and pharmaceuticals. This role is pivotal in driving compute-enabled biological hypothesis generation, ultimately contributing to our mission of delivering improved therapies to patients at an accelerated pace.

Join Us in Building a Safer World.At TRM Labs, we are dedicated to providing cutting-edge blockchain analytics and AI solutions that empower law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in the fight against crypto-related fraud and financial crime. Our advanced platforms enable clients to trace the origins and destinations of funds, identify illicit activities, build robust cases, and gain a comprehensive view of potential threats. Trusted by leading agencies and businesses globally, TRM is committed to fostering a safer and more secure world for everyone.We are currently seeking a Full Stack Data Scientist to join our dynamic Knowledge Layer team. This innovative group specializes in extracting, structuring, and analyzing knowledge from vast, unstructured datasets. Positioned at the crossroads of knowledge graphs, entity resolution, graph extraction, and graph analytics, this team plays a pivotal role in enhancing TRM’s core intelligence products.While our team boasts strong backend and graph engineering expertise, we are in search of a candidate who can serve as the voice of machine learning and data science within the team. This individual will bring practical expertise in knowledge extraction and graph-based machine learning to help accelerate and scale our capabilities. This role is perfect for someone who thrives in an end-to-end operational environment, managing everything from model selection and experimentation to the productionization of ML systems and APIs.Your Impact:Design, build, and productionize machine learning models centered on:Knowledge extraction from unstructured data (e.g., Named Entity Recognition, entity linking)Graph-based learning and inferenceEntity resolution and relationship discoveryEvaluate and utilize existing ML models and frameworks to effectively tackle real-world challengesCollaborate closely with backend and graph engineers to integrate ML models into production services and APIsContribute to the design and development of knowledge graphs and ontologiesConduct exploratory data analysis (EDA) to inform modeling decisions and system architectureOversee ML components from inception to deployment, including experimentation, evaluation, and iterative improvementsHelp establish best practices for applied ML within the Knowledge Layer teamQualifications:Proven experience in machine learning, particularly in knowledge extraction and graph-based methodsStrong programming skills in Python or similar languagesFamiliarity with ML frameworks and libraries (e.g., TensorFlow, PyTorch)Experience with data manipulation and analysis tools (e.g., Pandas, NumPy)Excellent communication skills and ability to collaborate effectively with cross-functional teams

ABOUT MITHRLAt Mithrl, we envision a future where innovative medicines are delivered to patients in mere months, not years, and where scientific discoveries unfold at the speed of thought.Mithrl is pioneering the world’s first commercially available AI Co-Scientist, a groundbreaking discovery engine that converts complex biological data into actionable insights within minutes. Scientists interact using natural language, and Mithrl provides real analysis, innovative targets, hypotheses, and patent-ready reports.Our impressive track record includes:12X year-over-year revenue growthEndorsed by leading biotech firms and major pharmaceutical companies across three continentsFacilitating significant breakthroughs from target discovery to patient outcomes.ABOUT THE ROLEWe are seeking a Data Scientist specializing in Knowledge Graphs to develop and enhance the biological knowledge layer that supports the Mithrl AI Co-Scientist. Your primary focus will be to aggregate and harmonize the most critical biological data sources globally, curating the relationships that enable our system to reason across various pathways, targets, diseases, compounds, and multimodal datasets.You will be responsible for gathering data from public consortia and well-maintained peer-reviewed sources to create a coherent, versioned knowledge graph. This includes identifying new node types, defining relationship schemas, harmonizing variable IDs, and ensuring metadata consistency across all integrated sources. Additionally, you will build automated curation pipelines that enrich and refine the knowledge graph through both data-driven approaches and domain knowledge.Beyond data ingestion and curation, you will develop tools and frameworks that empower users to interact with the knowledge graph and create their custom graphs based on the insights generated within Mithrl. Your contributions will lay the groundwork for pathway reasoning, target scoring, evidence aggregation, and multimodal interpretation within the AI Co-Scientist.WHAT YOU WILL DOAggregate, harmonize, and version high-value public biological datasets such as CellxGene, Gemma, ARCHS4, ENCODE, GTEx, TCGA, etc.Ingest well-maintained peer-reviewed knowledge bases such as OpenTargets, HPA, and similar resources.Create automated pipelines to curate and broaden relationships within the knowledge graph.Define and evolve relationship schemas, ensuring accuracy and consistency throughout.