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Intelligent Design Jobs in Santa Rosa, CA (NOW HIRING)

RTX

Manufacturing Engineer II (Onsite)

El Verano, CA

$144K/yr

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine ... They design, control, and improve the manufacturing process and system design through a ...

BIOMARIN PHARMACEUTICAL

Data Scientist 2

Novato, CA · On-site

Author business case, design, development and project implementation documents. * Advance the ... and intelligent document processing. * Develop GenAI solutions (e.g., RAG for SOPs/reports ...

Apple

Wireless Power Magnetics Architect

Bodega Bay, CA

$184K - $324K/yr

Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people ... In particular, the role includes participation in the design, simulation, testing and analysis of ...

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Intelligent Design information

See Santa Rosa, CA salary details

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$55

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How much do intelligent design jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for intelligent design in Santa Rosa, CA is $55.42, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $67.55 per hour, depending on experience, location, and employer.

What is intelligent design?

Intelligent Design is the belief that certain features of the universe and living things are best explained by an intelligent cause, not by an undirected process such as natural selection. Proponents argue that complex biological structures exhibit signs of purposeful arrangement, which they interpret as evidence of design. However, Intelligent Design is not widely accepted within the mainstream scientific community, as it does not adhere to the standard methods of scientific inquiry and is often considered a form of creationism.

What are the key skills and qualifications needed to thrive as an intelligent design specialist, and why are they important?

To thrive as an Intelligent Design Specialist, you need a strong background in research, critical analysis, and scientific methodology, typically supported by advanced degrees in biology, philosophy, or related fields. Familiarity with data analysis tools, peer-reviewed literature databases, and scientific writing platforms is essential. Strong communication, analytical thinking, and the ability to present complex ideas clearly are critical soft skills for engaging with both scientific and public audiences. These skills are important for effectively conducting research, contributing to academic discussions, and communicating findings within the broader scientific community.

What are some common challenges faced by professionals working in intelligent design roles within technology and engineering sectors?

Professionals in Intelligent Design roles often encounter challenges such as integrating advanced technologies into existing systems, ensuring cross-functional collaboration between design, engineering, and product teams, and balancing innovative solutions with practical constraints like budget and timelines. Additionally, they must stay updated with rapidly evolving tools and methodologies, which requires continuous learning. Overcoming these challenges relies on strong communication skills, adaptability, and a deep understanding of both user needs and technical possibilities.

What is the difference between Intelligent Design vs Mechanical Engineer?

AspectIntelligent DesignMechanical Engineer
Required CredentialsTypically no formal credentials; often involves philosophical or scientific studyBachelor's degree in Mechanical Engineering or related field, Professional Engineer (PE) license often preferred
Work EnvironmentResearch, academia, or philosophical discussionsDesign, testing, manufacturing in industrial or corporate settings
Industry UsageUsed in scientific debates, education, and some research contextsApplied in manufacturing, product design, automotive, aerospace industries

Intelligent Design focuses on the concept of a higher intelligence influencing biological development, often within scientific or philosophical contexts. Mechanical Engineering involves designing and analyzing mechanical systems in industrial environments. While both fields involve problem-solving, their credentials, work environments, and industry applications differ significantly.

What are popular job titles related to Intelligent Design jobs in Santa Rosa, CA?

For Intelligent Design jobs in Santa Rosa, CA, the most frequently searched job titles are:

What job categories do people searching Intelligent Design jobs in Santa Rosa, CA look for?

The top searched job categories for Intelligent Design jobs in Santa Rosa, CA are:

Intelligent Design jobs near you

AI/ML Software Engineer

iTradeNetwork, Inc.

Charlotte, NC • On-site

$40/hr

Full-time

Re-posted 11 days ago

Job description

JOB SUMMARY

We are building an AI-first company - which means AI isn't a feature we bolt on; it's the foundation of how we design products, make decisions, and ship software. As an Associate AI/ML Full Stack Developer, you'll be on the front lines of that mission: building intelligent, production-ready applications that put machine learning at the core of the user experience.

This is a role for someone who wants to grow fast. You'll work alongside experienced engineers and data scientists on real problems, ship code that matters, and develop deep expertise at the intersection of AI/ML and full stack development - all in service of one of the most consequential industries in the world.

Key Responsibilities:
  • Build and ship AI-powered full stack applications - from model integration to user-facing interfaces - using modern frameworks and cloud-native infrastructure.
  • Partner with data scientists to bring ML models into production: wrapping them in APIs, optimizing inference pipelines, and monitoring performance in live environments.
  • Own end-to-end data pipelines that support model training, validation, and deployment workflows.
  • Develop frontend experiences (React or similar) that surface AI-driven insights in intuitive, responsive interfaces.
  • Contribute to backend services and microservices that power model serving, data ingestion, and business logic.
  • Participate in code reviews and collaborative design discussions - learning from senior engineers while sharing your own perspective.
  • Stay current with the AI/ML landscape: new architectures, tooling, and frameworks move fast, and so do we.
What you'll need:

Required:

  • Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience).
  • Solid grounding in data structures, algorithms, and object-oriented programming.
  • Understanding of core AI/ML concepts: supervised and unsupervised learning, neural networks, model evaluation.
  • Proficiency in at least one backend language - Python strongly preferred given its centrality to the ML ecosystem.
  • Hands-on experience with web development (React, Angular, or comparable framework).
  • Comfort with both SQL and NoSQL databases.
  • A problem-solving mindset and genuine curiosity about how AI can change the way software works.

Nice to Have:

  • Experience with Python ML libraries: TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying ML workloads in the cloud.
  • Exposure to LLM APIs, prompt engineering, or retrieval-augmented generation (RAG) patterns.
  • Knowledge of MLOps tooling: experiment tracking, model registries, CI/CD for ML pipelines.
  • Project or coursework experience building AI/ML applications end-to-end.

Who you are:

  • You think AI-first - when approaching a problem, your instinct is to ask how intelligence can be built into the solution, not added as an afterthought.
  • You move fast and learn faster. You're comfortable with ambiguity and excited by the pace of change in the AI space.
  • You communicate clearly and collaborate naturally across disciplines - you can talk to a data scientist about model architecture and to a product manager about tradeoffs.
  • You take ownership. You don't wait to be told what to do next; you find the next important thing and work on it.
  • You care about craft - clean code, thoughtful documentation, and systems that are built to last.

Base Compensation: $40/hr

Apply