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Vector Jobs in Riverside, CA (NOW HIRING)

Luxoft

AI Technical Lead

Irvine, CA · On-site

$180 - $280/hr

Oversee the development of enterprise Retrieval-Augmented Generation (RAG) pipelines, semantic chunking strategies, and vector database integrations. * Implement strict evaluation and observability ...

Abode TechZone, LLC

Sr. Database Engineer

Irvine, CA · On-site

$112K - $152K/yr

Design and implement specialized data storage solutions, such as vector databases (Amazon OpenSearch, pgvector), to support Generative AI and RAG-based applications. • Set the Standards: Define and ...

Rivian

Lead Data Scientist (Context Engineering)

Irvine, CA · On-site

$154K - $192K/yr

RAG & Vector Architecture: Design the Retrieval-Augmented Generation (RAG) infrastructure, determining how unstructured data (e.g., shipping logs, sales notes, brand guidelines) is indexed, chunked ...

Rivian

Lead Data Scientist (Context Engineering)

Irvine, CA · On-site

$154K - $192K/yr

RAG & Vector Architecture: Design the Retrieval-Augmented Generation (RAG) infrastructure, determining how unstructured data (e.g., shipping logs, sales notes, brand guidelines) is indexed, chunked ...

Rivian

Lead Data Scientist (Context Engineering)

Irvine, CA · On-site

$154K - $192K/yr

RAG & Vector Architecture: Design the Retrieval-Augmented Generation (RAG) infrastructure, determining how unstructured data (e.g., shipping logs, sales notes, brand guidelines) is indexed, chunked ...

PHPSS

Wireless Penetration Tester

San Bernardino, CA · On-site

Description Position Summary Tests County secure and guest wireless networks for unauthorized access and improper segmentation, attempting to reach confidential data via wireless attack vectors while ...

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector) * MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML ...

SpaceX

RFIC Design Engineer (RFIC Engineering)

Irvine, CA · On-site

$145K - $195K/yr

Familiarity with radio related test equipment such as spectrum analyzers, vector signal analyzers, vector signal generator, network analyzers * Experience characterizing radio performance in ...

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector) * MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML ...

CYNET SYSTEMS

Senior AI Engineer

Irvine, CA · On-site

$56 - $61/hr

Expertise in OpenSearch (vector search), Neptune (graph databases), DynamoDB and Redis (ElastiCache). * Strong programming skills (Python preferred). * Experience with Databricks and Apache Spark.

Veritone, Inc.

AI/Machine Learning Engineer

Irvine, CA · On-site

$175 - $200/hr

Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector); MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML ...

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Showing results 21-40

All JobsVector JobsVector Jobs in Riverside, CA

Vector information

See Riverside, CA salary details

$25.7K

$84.8K

$175.6K

How much do vector jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vector in Riverside, CA is $84,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,942.00 and $112,013.00 per year, depending on experience, location, and employer.

What is a vector?

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 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 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 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 popular job titles related to Vector jobs in Riverside, CA?

For Vector jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Vector jobs in Riverside, CA look for?

The top searched job categories for Vector jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Vector jobs?

Cities near Riverside, CA with the most Vector job openings:

Vector jobs near you
Infographic showing various Vector job openings in Riverside, CA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 68% Physical, 6% Hybrid, and 26% Remote job distribution, with an average salary of $84,825 per year, or $40.8 per hour.

AI Technical Lead

Luxoft

Irvine, CA • On-site

$180 - $280/hr

Other

Re-posted 3 days ago

Job description

Project description

Luxoft is initiating the development of a solution designed to generate investment insights based on sales and research materials. The solution will leverage advanced Agentic AI capabilities to significantly reduce the time required to prepare for client meetings and improve quality of the insights.

Responsibilities
  • Lead the architecture and implementation of production-grade LLM orchestration, multi-agent systems, and autonomous coding workflows.
  • Oversee the development of enterprise Retrieval-Augmented Generation (RAG) pipelines, semantic chunking strategies, and vector database integrations.
  • Implement strict evaluation and observability frameworks to monitor production latency, API costs, system drift, and model accuracy.
  • Drive the design, deployment, and ongoing maintenance of secure, scalable, and resilient cloud systems on AWS leveraging ECS Fargate, Lambda, SQS, Aurora, and Neptune.
  • Own the end-to-end infrastructure lifecycle by embedding robust Infrastructure-as-Code (IaC) and deployment pipelines directly within the development workflow.
  • Lead, mentor, and inspire a specialized team of Python and TypeScript engineers.
  • Drive delivery utilizing agile methodologies, balancing rapid AI prototyping with enterprise-grade stability, security, and compliance.
  • Act as the primary technical liaison between business stakeholders, product managers, and the engineering team to translate strategic goals into technical realities.
Skills Must have
  • 10+ years of professional software development experience.
  • Advanced proficiency in Python (asyncio, FastAPI) and TypeScript (Next.js/React, serverless execution layers).
  • Hands-on experience building complex, stateful agentic workflows using LangGraph or LangChain.
  • Proven track record architecting, provisioning, and managing your own production infrastructure on AWS, specifically utilizing ECS Fargate, Lambda, and SQS.
  • Experience defining cloud architecture programmatically using advanced Infrastructure-as-Code (IaC) tools like AWS CDK or Terraform (Python/TypeScript preferred).
  • Experience managing relational databases (Aurora) alongside graph or vector backends (Neptune).
  • Power-user fluency with advanced command-line AI interfaces (Claude Code CLI, GitHub Copilot CLI) with a deep understanding of prompt engineering and context window management.
  • Seasoned technical leader with professional software engineering experience and a proven track record leading teams to work collaboratively to deliver solutions on time.
  • Experience operating in an agile setting, deploying and maintaining AI/LLM applications in a live, enterprise-scale production environment.
  • Accountable for results, with excellent communication skills to mentor engineers and defuse technical friction.
Nice to have
  • Highly desirable: experience with AgentCore, AWS Neptune, Amazon API gateway.
  • Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation).
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