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Vector Jobs in Riverside, CA (NOW HIRING)

Fine-tune and evaluate Large Language Models (LLMs), and implement GenAI patterns like prompt engineering, embeddings, vector stores, and Retrieval-Augmented Generation (RAG). * Build and optimize ...

Familiarity with power estimation (vector-less and vector-based), modeling, profiling, and post-silicon power correlation. Solid understanding of wireless standards, such as IEEE 802.11, 802.15 ...

Sr Engineer, AI Solutions

Irvine, CA · On-site

$130K - $168K/yr

Fine-tune and evaluate Large Language Models (LLMs), and implement GenAI patterns like prompt engineering, embeddings, vector stores, and Retrieval-Augmented Generation (RAG). * Build and optimize ...

Familiarity with power estimation (vector-less and vector-based), modeling, profiling, and post-silicon power correlation. Solid understanding of wireless standards, such as IEEE 802.11, 802.15 ...

Solid understanding of RF test equipment (network analyzer, spectrum analyzer, vector signal analyzer, vector signal generator, etc.). Good knowledge of RF, PLL, and general wireless systems ...

Solid understanding of RF test equipment (network analyzer, spectrum analyzer, vector signal analyzer, vector signal generator, etc.). Good knowledge of RF, PLL, and general wireless systems ...

Solid understanding of RF test equipment (network analyzer, spectrum analyzer, vector signal analyzer, vector signal generator, etc.). Good knowledge of RF, PLL, and general wireless systems ...

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

Collaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks. * Prototype and deploy generative AI applications such as content generation agents ...

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Vector information

See Riverside, CA salary details

$25.7K

$84.8K

$175.6K

How much do vector jobs pay per year?

As of Jun 6, 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 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 cities near Riverside, CA are hiring for Vector jobs? Cities near Riverside, CA with the most Vector job openings:

Sr Engineer, AI Solutions

PDS Health

Irvine, CA • On-site

$130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Now is the time to join PDS Health. You will have opportunities to learn new skills from our team of experienced professionals. If you're ready to take your career to the next level and gain valuable experience, apply today!
The Senior Engineer, AI Solutions collaborates with cross-functional teams to design, develop, and deploy innovative AI solutions in areas such as computer vision and Large Language Models (LLMs). The role requires advanced technical expertise, a passion for innovation, and the ability to mentor junior engineers.
Responsibilities
  • Design and implement AI/Machine Learning (ML) solutions across domains such as computer vision and Natural Language Processing (NLP), and Generative AI (GenAI) use cases: document understanding, summarization, and chatbots.
  • Develop and optimize autonomous AI agents and related workflows, including integration with enterprise systems.
  • Guide data labeling strategies and human-in-the-loop feedback for supervised and reinforcement learning models.
  • Fine-tune and evaluate Large Language Models (LLMs), and implement GenAI patterns like prompt engineering, embeddings, vector stores, and Retrieval-Augmented Generation (RAG).
  • Build and optimize robust data pipelines for large datasets, including data cleaning, transformation, labeling, and feature engineering.
  • Design scalable APIs and real-time/batch inferencing services for AI capabilities use across teams and applications.
  • Deploy and manage AI models using containerization, orchestration and Machine Learning Operations (MLOps) best practices (Continuous Integration and Deployment (CI/CD) pipelines on AWS and/or GCP).
  • Collaborate with stakeholders to understand business needs, translate into AI solutions, and align with product goals and regulatory constraints.
  • Mentor junior engineers in AI/Machine Learning (ML) fundamentals, coding standards, and deployment best practices.
  • Contribute to research and innovation initiatives and evaluate new techniques, tools, and architectures in AI and ML.
  • Other duties and responsibilities as assigned.

Qualifications
  • Master's degree in Computer Science, Data Science or related discipline from an accredited college or university. In lieu of degree, 6+ years of experience in AI/Machine Learning, and system design.
  • 4+ years of experience in AI/Machine Learning engineering, working with system design and deployment of AI Solutions; practical experience in healthcare AI applications.
  • 1+ years of advance technical expertise.
  • Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain.
  • Experience with GenAI and Large Language Models (LLMs), including fine-tuning and prompt engineering.
  • Experience with retrieval-augmented generation (RAG), and vector databases.
  • Experience with SQL and/or NoSQL databases for structured and unstructured data.
  • Experience with cloud platforms (AWS and/or GCP).
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Experience working in cross-functional teams.

Preferred
  • 8+ years of experience in AI/Machine Learning (ML) with large-scale system design.
  • Strong understanding of AI system design, scalability, and performance optimization.
  • Experience with medical image analysis.
  • Experience with React or other modern JavaScript frameworks.
  • Experience with MLOps, CI/CD, and AI model optimization.
  • Familiarity with HIPAA and healthcare compliance standards.
  • Experience with clinical studies and statistical analysis.

Knowledge/Skills/Abilities
  • Demonstrated interpersonal, verbal and written communication skills.
  • Ability to collaborate with team members at all levels of the organization.
  • Demonstrated ability to mentor and lead AI projects.
  • Ability to adhere to industry best practices and regulatory requirements, particularly regarding data privacy and security.
  • Familiarity with CI/CD pipelines and DevOps practices.

Benefits
  • Medical, dental, and vision insurance
  • Paid time off
  • Tuition Reimbursement
  • 401K
  • Paid time to volunteer in your local community

Compensation Information
$130,000.00-$168,000.00 / Annually
PDS Health is an Equal Opportunity Employer. We celebrate diversity and are united in our mission to create healthier and happier team members.