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Vector Jobs in Oregon (NOW HIRING)

GHX

OR · On-site

$91K - $121K/yr

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 ...

Tebra

Senior AI Automation Engineer

OR · Remote

$103K - $136K/yr

Own the Retrieval-Augmented Generation (RAG) lifecycle end-to-end, including ingestion, chunking strategy, embeddings, vector storage, and reranking. * Implement data quality checks and architectural ...

GHX

OR · On-site

$91K - $121K/yr

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 ...

GHX

OR · On-site

$114K - $152K/yr

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 ...

Tebra

AI Automation Engineer

OR · Remote

Own retrieval end-to-end including ingestion, chunking strategy, embeddings, vector storage and reranking as one connected system. * Implement data enrichment, quality checks, and architectural ...

Actian Corporation

OR

We develop high-performance database technologies (including Ingres, Vector, and Zen) that power the world, most demanding industries. About the Role Actian is building the next generation of AI ...

Landmark Bio

Effectively communicate technical capabilities in viral vector manufacturing, mRNA production, and cell & gene therapy platforms, with support from technical subject matter experts * Build strong ...

Chabez Tech

Machine Learning Engineer

Portland, OR

... vector databases, RAG systems, or LLM-based reasoning Knowledge of MLOps practices (CI/CD, monitoring, model governance) Experience working in air-gapped or high-security environments Additional ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

... vector databases, RAG systems, or LLM-based reasoning • Knowledge of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or high-security environments ...

Chabez Tech

Machine Learning Engineer

Portland, OR

... vector databases, RAG systems, or LLM-based reasoning • Knowledge of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or high-security environments ...

ClickHouse

OR

Stay up to date with the latest threats, attack vectors to improve our detection mechanisms and attack surface management * Handle information security events and incidents across the ClickHouse ...

GE Aerospace

Software Engineer AI/ML

Salem, OR

$115K - $138K/yr

Design vector database architectures and semantic search capabilities to power RAG applications; optimize retrieval strategies for accuracy and latency * Build evaluation frameworks for LLM ...

Chabez Tech

Machine Learning Engineer

Portland, OR

... vector databases, RAG systems, or LLM-based reasoning • Knowledge of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or high-security environments ...

Tebra

Senior Data Engineer

OR · Remote

$105K - $143K/yr

Strong background in modern data infrastructure relevant to AI (e.g., Spark, Airflow, Kafka, Vector Databases ). * Experience with Data Lake/Lakehouse architectures (e.g., Databricks, Snowflake ...

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All JobsVector JobsVector Jobs in Oregon

Vector information

See Oregon salary details

$25.4K

$83.8K

$173.5K

How much do vector jobs pay per year?

As of Jun 18, 2026, the average yearly pay for vector in Oregon is $83,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,374.00 and $110,712.00 per year, depending on experience, location, and employer.

What is the difference between Vector vs Data Analyst?

AspectVectorData Analyst
Required CredentialsBachelor's degree in computer science, data science, or related field; knowledge of programming languages like Python or RBachelor's degree in statistics, mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, data-driven industries, often in collaborative teamsBusiness, finance, healthcare sectors; working with large datasets and reporting
Employer & Industry UsageUsed in tech, AI, and data science companies for machine learning and data processingCommon in corporate, consulting, and research settings for interpreting data trends

While both Vector and Data Analyst roles involve working with data, Vector typically focuses on data processing, machine learning, and programming, whereas Data Analysts concentrate on interpreting data, creating reports, and supporting business decisions. The roles often overlap in skills but differ in primary responsibilities and industry focus.

What are some common challenges faced by professionals working in vector graphics design roles?

Professionals in vector graphics design often encounter the challenge of balancing creative vision with technical limitations, such as file compatibility and scalability across platforms. Collaborating closely with developers, marketers, and other designers is common to ensure consistency and usability of graphics in various media. Additionally, keeping up with evolving design software and trends is essential to remain competitive and efficient in this fast-paced field.

What are vectors in the context of jobs?

In the context of jobs, 'vector' is most commonly used in fields such as mathematics, physics, computer science, and data analysis to refer to a quantity with both magnitude and direction, or a data structure that holds a sequence of values. For example, in computer programming, a vector is a type of dynamic array used to store and manipulate data efficiently. In other fields like biology, a vector might refer to an organism that transmits pathogens. The specific meaning of 'vector' depends on the industry and job role, so it's important to clarify the context when you encounter this term in a job description.

What are the key skills and qualifications needed to thrive as a Vector Control Specialist, and why are they important?

To thrive as a Vector Control Specialist, you need knowledge of entomology, environmental science, and public health, often supported by a relevant science degree or certification in pest management. Familiarity with GIS mapping, pesticide application equipment, and regulatory reporting systems is typically required. Strong analytical skills, attention to detail, and effective communication are crucial soft skills in this role. These competencies are vital for accurately identifying vector threats, implementing control measures, and ensuring community health and safety.
What are the most commonly searched types of Vector jobs in Oregon? The most popular types of Vector jobs in Oregon are:
What are popular job titles related to Vector jobs in Oregon? For Vector jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Vector jobs in Oregon look for? The top searched job categories for Vector jobs in Oregon are:
What cities in Oregon are hiring for Vector jobs? Cities in Oregon with the most Vector job openings:
Vector jobs near you

Software Engineer III - Knowledge Representation (Ontology and ML Engineer)

GHX

OR • On-site

$91K - $121K/yr

Other

Posted 2 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

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