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Machine Safety Engineer Jobs in Santa Barbara, CA

Burnet Machining Inc

Machinist

Goleta, CA · On-site

$20 - $30/hr

Adjust machine settings, tooling, and offsets for optimal performance. * Perform quality ... Follow safety protocols and adhere to company policies. Requirements: * Proven experience as a CNC ...

Burnet Machining Inc

Machinist

Goleta, CA · On-site

$20 - $30/hr

Adjust machine settings, tooling, and offsets for optimal performance. * Perform quality ... Follow safety protocols and adhere to company policies. Requirements: * Proven experience as a CNC ...

Burnet Machining Inc

Machinist

Goleta, CA · On-site

$20 - $30/hr

Adjust machine settings, tooling, and offsets for optimal performance. * Perform quality ... Follow safety protocols and adhere to company policies. Requirements: * Proven experience as a CNC ...

Prolim Global

Machinist 2 - CNC

Goleta, CA · On-site

$22 - $30.25/hr

Familiarity with CNC mills and machine programming software such as Mastercam or CAM Works * Strong ... Safety-focused and team-oriented environment Why Join Us? you'll contribute to innovative aerospace ...

PROLIM Global Corporation

Machinist 2 - CNC

Goleta, CA · On-site

$22 - $30.25/hr

Familiarity with CNC mills and machine programming software such as Mastercam or CAM Works * Strong ... Safety-focused and team-oriented environment Why Join Us? you'll contribute to innovative aerospace ...

Actalent

Manufacturing Engineer

Ventura, CA · On-site

$31.25 - $38.46/hr

Manufacturing Engineer The Manufacturing Engineer plays a pivotal role in providing hands-on ... safety while working around manufacturing equipment and machinery. Job Type & Location This is a ...

Prolim Global

Machinist 2 - CNC

Goleta, CA · On-site

$22 - $30.25/hr

... paced machine shop environment Collaborative work with machinists, engineers, and quality teams Ability to work independently and as part of a team Strong focus on quality, safety, and precision ...

PROLIM Global Corporation

Machinist 2 - CNC

Goleta, CA · On-site

$22 - $30.25/hr

... paced machine shop environment Collaborative work with machinists, engineers, and quality teams Ability to work independently and as part of a team Strong focus on quality, safety, and precision ...

Silicon Resourcing Solutions, LLC.

Be Seen First

Process Engineer

Ventura, CA · On-site

$70K - $80K/yr

The Process Engineer will have a superior understanding of SRS equipment, machinery blueprints ... Train new employees on Safety/Shop Floor Procedures/compliance requirements. * Prepare reports on ...

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All JobsMachine Safety Engineer JobsMachine Safety Engineer Jobs in Santa Barbara, CA

Machine Safety Engineer information

See Santa Barbara, CA salary details

$35K

$143.3K

$215.3K

How much do machine safety engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine safety engineer in Santa Barbara, CA is $143,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $172,500.00 per year, depending on experience, location, and employer.

What is a machine safety engineer?

Machine Safety Engineers are professionals who specialize in ensuring that machinery and industrial equipment operate safely and comply with relevant safety standards and regulations. They assess risks, design and implement safety systems, and conduct inspections and audits to prevent accidents and injuries in the workplace. Their work often involves collaborating with design, maintenance, and operations teams to identify potential hazards and develop solutions that minimize risk while maintaining productivity.

What are the key skills and qualifications needed to thrive as a machine safety engineer?

To thrive as a Machine Safety Engineer, you need expertise in engineering principles, risk assessment, and safety standards such as ISO 13849 or IEC 62061, typically supported by a degree in engineering or a related field. Familiarity with safety analysis tools, programmable logic controllers (PLCs), and certifications like TÜV Functional Safety Engineer is commonly required. Strong analytical thinking, attention to detail, and effective communication skills are crucial for collaborating with multidisciplinary teams and ensuring compliance. These skills and qualifications are essential for designing safe machinery, preventing workplace accidents, and meeting regulatory requirements.

What are some common challenges faced by machine safety engineers when implementing new safety protocols in manufacturing environments?

Machine Safety Engineers often encounter challenges such as resistance to change from operators, integrating safety solutions with legacy machinery, and ensuring compliance with ever-evolving safety regulations. Balancing productivity goals with rigorous safety standards can require creative problem-solving and strong communication skills. Collaborating with production teams, maintenance staff, and management is key to successfully implementing new protocols, as it helps ensure buy-in and proper training across all levels.

What is the difference between Machine Safety Engineer vs Safety Technician?

AspectMachine Safety EngineerSafety Technician
CertificationsOSHA 30/ OSHA 500, CSP, or equivalentOSHA 10/ OSHA 30, safety-specific certifications
Work EnvironmentDesigning safety protocols, risk assessments, and compliance in manufacturing or industrial settingsImplementing safety procedures, inspections, and incident investigations on-site
Employer & Industry UsageManufacturing, industrial plants, engineering firmsFactories, construction sites, industrial facilities

While both roles focus on workplace safety, Machine Safety Engineers primarily design safety systems and ensure compliance during the development phase, whereas Safety Technicians implement safety measures and conduct inspections on the ground. Both roles are essential for maintaining a safe work environment in industrial settings.

Are safety engineers in demand?

Safety engineers, including machine safety engineers, are in high demand across industries such as manufacturing, construction, and energy due to increasing safety regulations and the need to prevent workplace accidents. They often require knowledge of safety standards, risk assessment, and safety management systems, making their skills valuable in ensuring compliance and protecting workers.

What are popular job titles related to Machine Safety Engineer jobs in Santa Barbara, CA?

For Machine Safety Engineer jobs in Santa Barbara, CA, the most frequently searched job titles are:

What job categories do people searching Machine Safety Engineer jobs in Santa Barbara, CA look for?

The top searched job categories for Machine Safety Engineer jobs in Santa Barbara, CA are:

What cities near Santa Barbara, CA are hiring for Machine Safety Engineer jobs?

Cities near Santa Barbara, CA with the most Machine Safety Engineer job openings:

Machine Safety Engineer jobs near you
Infographic showing various Machine Safety Engineer job openings in Santa Barbara, CA as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $143,278 per year, or $68.9 per hour.

Staff Machine Learning Engineer

AppFolio

Santa Barbara, CA

Full-time

Re-posted yesterday

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
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