OR · On-site
$91K - $121K/yr
The Software Engineer 3 focusing on Knowledge Representation will play a key role in maintaining ... They will leverage graph, table, document and vector store capabilities that interact with AI ...
OR · On-site
$91K - $121K/yr
The Software Engineer 3 focusing on Knowledge Representation will play a key role in maintaining ... They will leverage graph, table, document and vector store capabilities that interact with AI ...
Data Scientist
OR · On-site +1
Strong intuition for entity resolution, knowledge graph construction, or graph-based modeling and you've thought seriously about how to connect fragmented data into structured, queryable ...
Data Scientist
OR · On-site +1
Strong intuition for entity resolution, knowledge graph construction, or graph-based modeling and you've thought seriously about how to connect fragmented data into structured, queryable ...
OR · On-site
Exposure to graph databases, knowledge graph systems, or commercial ontology modeling * Familiarity with streaming technologies (Kafka, Azure Service Bus) or distributed compute frameworks (Ray)
Principal Software Engineer, AI
OR · On-site +1
$134K - $180K/yr
This includes a knowledge graph, RAG and retrieval systems, and the access control and governance infrastructure that sits around them. You will be the technical owner and driver of this platform ...
Principal Software Engineer, AI
OR · On-site +1
$134K - $180K/yr
This includes a knowledge graph, RAG and retrieval systems, and the access control and governance infrastructure that sits around them. You will be the technical owner and driver of this platform ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc. About the Team: This ...
Drive collaboration efforts to reduce product friction and increase usability of the Graph Search ... Working knowledge of search engine concepts: index mappings, text analyzers, aliases, data backfill ...
Senior Product Manager, Infrastructure Observability | US | Remote
OR · Remote
$162K - $194K/yr
... Knowledge Graph and Grafana Assistant, so that our customers have a seamless monitoring experience where they can easily navigate between different layers of their architecture through guided ...
Senior Product Manager, Infrastructure Observability | US | Remote
OR · Remote
$162K - $194K/yr
... Knowledge Graph and Grafana Assistant, so that our customers have a seamless monitoring experience where they can easily navigate between different layers of their architecture through guided ...
Machine Learning Engineer
Portland, OR · On-site
... with knowledge graphs (Neo4j, RDF, graph databases) Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) Experience deploying ML models in production systems Strong ...
Machine Learning Engineer
Portland, OR · On-site
... with knowledge graphs (Neo4j, RDF, graph databases) Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) Experience deploying ML models in production systems Strong ...
Machine Learning Engineer
Portland, OR · On-site
... knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) • Experience deploying ML models in production systems • Strong ...
Machine Learning Engineer
Portland, OR · On-site
... knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) • Experience deploying ML models in production systems • Strong ...
Configuration Specialist
Portland, OR · Remote
$70 - $75/hr
The ideal candidate would have hands-on experience with the O9 configuration workbench, also known as Enterprise Knowledge Graph (EKG). They should be able to customize the workflow engine within O9 ...
Configuration Specialist
Portland, OR · Remote
$70 - $75/hr
The ideal candidate would have hands-on experience with the O9 configuration workbench, also known as Enterprise Knowledge Graph (EKG). They should be able to customize the workflow engine within O9 ...
Data, Graph, and Knowledge Architecture * Design and implement relational schemas, graph models, object-storage structures, retrieval indexes, and audit records. * Build canonical identity and entity ...
Data, Graph, and Knowledge Architecture * Design and implement relational schemas, graph models, object-storage structures, retrieval indexes, and audit records. * Build canonical identity and entity ...
Discrete Math Tutor
Portland, OR · Remote
$18 - $40/hr
Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...
Discrete Math Tutor
Portland, OR · Remote
$18 - $40/hr
Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...
Knowledge Graph information
What are the key skills and qualifications needed to thrive in the Knowledge Graph position, and why are they important?
To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.
Is ML a high paying job?
Machine Learning (ML) roles, including positions like ML engineer or data scientist, are generally well-paid due to the specialized skills required, such as programming, statistics, and knowledge of algorithms. Salaries tend to be higher than average in tech hubs and often increase with experience, certifications, and proficiency in tools like Python, TensorFlow, or PyTorch.
What is a knowledge graph job description?
A knowledge graph job description typically involves designing, developing, and maintaining knowledge graphs that organize and connect data for improved search, reasoning, and data integration. The role often requires skills in data modeling, graph databases like Neo4j, and understanding of semantic technologies such as RDF and OWL. Professionals in this field may work with data scientists, software engineers, and domain experts to ensure accurate and efficient knowledge representation.
What is a Knowledge Graph job?
A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in top tech companies or specialized AI firms.
What engineer makes $500,000 a year?
Senior data engineers or machine learning engineers working in high-demand industries such as technology, finance, or AI can earn salaries around $500,000 annually, especially with extensive experience, advanced skills in big data tools, and relevant certifications. Compensation varies based on location, company size, and individual expertise.
What are some typical daily responsibilities of a Knowledge Graph Engineer?
As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.
What are the most commonly searched types of Knowledge Graph jobs in Oregon? The most popular types of Knowledge Graph jobs in Oregon are:
What job categories do people searching Knowledge Graph jobs in Oregon look for? The top searched job categories for Knowledge Graph jobs in Oregon are:
$91K - $121K/yr
Other
Posted 20 days ago
Job description
The Software Engineer 3 focusing on Knowledge Representation will play a key role in maintaining GHX's position at the forefront of AI solutions in Healthcare. This role will be responsible for applying modern methods for knowledge representation including ontology creation that interact with intelligent systems to meet the challenges GHX faces in assuring affordable quality healthcare for all.
This Engineer will define, design and curate the key ontological structures needed in the Health Care Supply Chain using data driven, ML and agentic approaches. They will leverage graph, table, document and vector store capabilities that interact with AI solutions and make sense of diverse internal and external data. This is a key strategic role in GHX's AI strategy, assuring correct and complete information while supporting explainability and transparency. The role will primarily be focused on the design and implementation of ontology and graphical structures that interact with other data stores as well as AI solutions including generative and rule based. They will join a team that is tasked with leading GHX through a transformational change and solidifying its role as the leader in AI in the Healthcare Supply Chain.
Essential Duties:
- Collaborate with internal and external stakeholders including users, developers, product managers, leadership, etc., to understand needs and challenges and translate these into solutions.
- Design & develop scalable structures and databases to capture, store and query structured, semi-structured and unstructured data.
- Design and maintain ontologies and data architectures to represent complex relationships and entities.
- Integrate graph solutions with other data stores and technologies.
- Leverage LLMs/GenAI and rules engines for data I/O and data curation.
- Multimodal data handling: incorporate text, images, videos, tables, graphs, rules, etc., into the knowledge representation system.
- Proactively explore new techniques and emerging trends to drive adoption of new solutions.
- Develop and maintain software tools to support knowledge representation needs.
- Implement tools for evaluating and monitoring solution performance.
- Invent and deploy novel solutions with maintainable APIs, MCP servers, to suit stakeholder needs.
- Adhere to sound software engineering practices.
Competencies:
- Solid foundational understanding and application of Computer Science principles.
- Proficiency in knowledge graph technologies (e.g. RDF, LPG, SPARQL, Cypher)
- Understanding of data modeling, ontology design, data architecture
- Familiar with LLMs and other machine learning and agentic solutions.
- Familiar with all steps of SDLC and software development best practices.
- Excellent software engineering skills including unit testing, modular problem decomposition, multiple solution integration, etc.
- Fluent with scripting and query languages.
- Requires minimal to no supervision.
Required Qualifications and Skills:
- Greater than 3 years working as a software engineer or data scientist.
- Expertise with one or more Graph query languages (SPARQL, Cypher, Gremlin) and the associated Graph Databases.
- Experience with Tabular (SQL), Document (NoSQL), and Vector/Semantic databases and their interactions with Graph DBs.
- Expertise with Python & SQL.
- Experience with AWS cloud resources (S3, EC2, ECS, Lambda).
- Experience with Docker or other container services.
- Specification and creation of APIs and microservices.
Preferred Qualifications and Skills:
- Computer Science or hard sciences Bachelors degree.
- Passion to stay on the cutting edge in knowledge representation solutions.
- Experience with Generative AI solutions.
- Sense of humor.
Estimated salary range for this position: $91,000 - $121,000