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Apprentice Full Stack Developer Jobs in Santa Barbara, CA

Engineering Manager

Santa Barbara, CA · On-site

$195 - $235/hr

... stack. Our focus is on first principles engineering, and our mandate is simple: it has to work when ... Experience leading engineering teams through full lifecycle programs, from concept development ...

... stacks used in the manufacture of Infrared Focal Plane Arrays. Raytheon is manufacturing some of ... Work in a cleanroom environment will full coverall garments. Qualifications You Must Have

Senior/Staff Mechanical Engineer

Santa Barbara, CA · On-site

$116K - $153K/yr

... stack. Our focus is on first principles engineering, and our mandate is simple: it has to work when ... Own the design through the full build and test lifecycle, including: * Lead technical reviews, root ...

Senior/Staff Mechanical Engineer

Santa Barbara, CA · On-site

$116K - $153K/yr

... stack. Our focus is on first principles engineering, and our mandate is simple: it has to work when ... Own the design through the full build and test lifecycle, including: * Lead technical reviews, root ...

... stack. Our focus is on first principles engineering, and our mandate is simple: it has to work when ... full lifecycle--from prototype to flight-ready systems. You will work closely with electrical ...

... stack. Our focus is on first principles engineering, and our mandate is simple: it has to work when ... full lifecycle-from prototype to flight-ready systems. You will work closely with electrical ...

Sr. Machine Learning Engineer

Santa Barbara, CA · On-site +1

$116K - $159K/yr

... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...

... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...

... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...

Senior QA Engineer

Santa Barbara, CA · On-site

$120K - $140K/yr

... the application stack. What You'll Do: * Dive into quality assurance checks during internal ... A full understanding of the Software Development Life Cycle (SDLC): Ability to discern and ...

Senior QA Engineer

Santa Barbara, CA · On-site

$120K - $140K/yr

... the application stack. What You'll Do: * Dive into quality assurance checks during internal ... A full understanding of the Software Development Life Cycle (SDLC): Ability to discern and ...

... the application stack. What You'll Do: * Dive into quality assurance checks during internal ... A full understanding of the Software Development Life Cycle (SDLC): Ability to discern and ...

Showing results 41-60

Apprentice Full Stack Developer information

See Santa Barbara, CA salary details

$26

$65

$95

How much do apprentice full stack developer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for apprentice full stack developer in Santa Barbara, CA is $65.94, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $75.96 per hour, depending on experience, location, and employer.

What is an apprentice full stack developer?

Apprentice Full Stack Developers are entry-level professionals who are learning to build both the front-end (user interface) and back-end (server, database) components of web applications. They typically work under the guidance of experienced developers, participating in real-world projects to gain practical skills in various programming languages, frameworks, and development tools. The apprenticeship period is designed to help them understand the full development cycle, from designing interfaces to deploying and maintaining applications. This role is ideal for individuals seeking hands-on experience while building a strong foundation in software development.

What types of projects can an apprentice full stack developer expect to work on, and how is mentorship typically structured in this role?

As an Apprentice Full Stack Developer, you can expect to work on a variety of projects that span both front-end and back-end development, such as creating web applications, building APIs, and optimizing existing codebases. Typically, you will be paired with a senior developer or a small team who will provide mentorship, conduct regular code reviews, and offer guidance on best practices. This collaborative structure is designed to help you gradually take on more responsibility and build confidence in a supportive environment. You'll also have opportunities to participate in daily stand-ups, sprint planning, and team discussions to better understand the full software development lifecycle.

What are the key skills and qualifications needed to thrive as an apprentice full stack developer, and why are they important?

To thrive as an Apprentice Full Stack Developer, you need a foundational understanding of programming languages like JavaScript, HTML, and CSS, alongside familiarity with both front-end and back-end development concepts. Experience with tools and frameworks such as React, Node.js, Git, and basic database systems, as well as participation in coding bootcamps or relevant certifications, is highly valuable. Strong problem-solving, communication, and a willingness to learn new technologies set exceptional candidates apart in this role. These skills enable effective collaboration, adaptability, and the ability to contribute to all layers of application development in a fast-changing tech environment.

What is the difference between Apprentice Full Stack Developer vs Junior Full Stack Developer?

AspectApprentice Full Stack DeveloperJunior Full Stack Developer
Required CredentialsBasic coding knowledge, often in training or courseworkSome experience or internship, foundational skills
Work EnvironmentLearning-focused, supervised, entry-level projectsCollaborative team, handling small to medium tasks
Employer UsageTraining programs, apprenticeships, entry-level rolesEntry-level positions, stepping stone roles

In summary, an Apprentice Full Stack Developer is typically in a training phase, focusing on learning and skill development under supervision. A Junior Full Stack Developer has more practical experience, handling real projects with less supervision, and is ready to contribute more independently.

How do I become an apprentice full stack developer with no experience?

To become an apprentice full stack developer with no experience, focus on learning foundational web development skills such as HTML, CSS, JavaScript, and backend technologies like Node.js or Python. Building a portfolio of small projects, completing online courses, and seeking internships or entry-level positions can help gain practical experience and improve employability in this role.

Is full-stack developer still in demand?

Full-stack developers are currently in high demand due to their versatility in handling both front-end and back-end development. Employers seek professionals skilled in technologies like JavaScript, React, Node.js, and databases, making this a strong career choice for those with relevant skills and certifications.

What are the most commonly searched types of Full Stack Developer jobs in Santa Barbara, CA?

The most popular types of Full Stack Developer jobs in Santa Barbara, CA are:

What cities near Santa Barbara, CA are hiring for Apprentice Full Stack Developer jobs?

Cities near Santa Barbara, CA with the most Apprentice Full Stack Developer job openings:

Staff Machine Learning Engineer

AppFolio

Santa Barbara, CA

Full-time

Re-posted 2 days ago


AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

185th of 247 rated software companies


Job description

Hi, We're AppFolio
We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on — training, fine-tuning, inference, RAG, evaluation, and cost. You'll keep our AI cloud always-on, observable, and economical, while staying close enough to applications to influence model and agent design.
This role works at the intersection of ML infrastructure, applied AI, and cost discipline. You'll partner closely with our Voice & Agents and Research ML engineers to harden their prototypes into production systems, and help move forward the platform layer that lets Realm-X scale across AppFolio's entire customer base.
Your Impact
  • ML Platform: Design and operate AppFolio's ML infrastructure on AWS — ECS, SageMaker, GPU fleets, model serving, autoscaling, and cost controls.
  • Drive AI Cost Discipline: Optimize cost across all AI applications — provider routing, caching, batch vs. real-time, model size selection, and inference economics.
  • Multi-Provider Reliability: Maintain reliable, multi-provider LLM access across Google, OpenAI, and Anthropic with sensible fallbacks and abstractions.
  • Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models, including data pipelines, GPU orchestration, and evaluation.
  • Productionize Research: Partner with Voice & Agents and Research ML engineers to harden their prototypes into production systems with SLOs, on-call rotations, and observability.
  • AI Safety & Guardrails: Operate AppFolio's AI safety and authorization layer — guardrails on AWS, scoped tool permissions, and human-in-the-loop gates for autonomous agent actions.
Qualifications
  • Systems thinker: You think in terms of platforms and long-term leverage, not just features.
  • Production builder: You've built and scaled ML infrastructure in production with meaningful business impact.
  • Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction.
  • Owner-operator: You take ownership with a founder/owner-operator mindset, act with urgency, and focus on outcomes.
  • Pace: You have a strong desire to move fast and deliver impact, while maintaining sound engineering judgment.
  • Collaboration: You are humble, collaborative, and low-ego, and you elevate those around you.
  • Sustainability: You value work-life balance as a foundation for sustained high performance.
  • Reliability mindset: You treat ML infra like any other production system — SLOs, on-call, observability, postmortems.
Must Have
  • ML infra at scale: Has built and operated production ML infrastructure on AWS — ECS, SageMaker, GPUs, autoscaling, and cost controls.
  • Inference platforms: Production experience with model serving for both LLMs and custom models; understands quantization, batching, and routing.
  • Provider breadth: Direct experience integrating with Google (Vertex / Gemini), OpenAI, and Anthropic APIs in production.
  • Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference.
  • Cloud-native engineering: Strong Python, Docker, dependency management, and CI/CD for AI workloads.
  • RAG & agents: Working knowledge of LangChain / LangGraph and modern RAG patterns over structured and unstructured data.
  • Cost optimization: Demonstrated experience reducing unit cost of AI workloads without regressing quality or latency.
  • AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems.
Nice to Have
  • Experience training Small Language Models for production use.
  • GPU performance tuning (vLLM, TensorRT, Triton, or similar).
  • Prior Staff-level role at a company with a significant AI infra footprint.
  • Experience with ontology-driven systems or knowledge graphs supporting AI applications.
  • Contributions to open-source ML infrastructure or LLM tooling.
Location
Find out more about our locations by visiting our s

What AppFolio employees say

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