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Ai Reliability Engineer Jobs in Santa Rosa, CA (NOW HIRING)

Doxel

Staff Software Engineer, Full Stack

Bodega Bay, CA · Remote

$200K - $250K/yr

... reliability, speed, and clarity matter. As a technical leader, you'll partner closely with product, design, backend, CV/ML, and platform engineering teams to turn Doxel's AI and data systems into ...

Apple

Process Engineer

Bodega Bay, CA · On-site

$184K - $324K/yr

Collaborate with reliability team and product design team to identify design and process issues ... Leveraging AI to improve overall project efficiency. Preferred Qualifications Understand and keep ...

Apple

Process Engineer

Bodega Bay, CA · On-site

$184K - $324K/yr

Collaborate with reliability team and product design team to identify design and process issues ... Leveraging AI to improve overall project efficiency. Preferred Qualifications Understand and keep ...

Block

Senior GRC Engineer

Bodega Bay, CA

$135K - $186K/yr

Design agentic AI workflows that pair LLM reasoning with deterministic, auditable decision layers ... Contribute to technical design discussions, evaluating the security and reliability properties of ...

Feather Robotics

Full Stack Roboticist

Santa Rosa, CA · On-site

Stress-test our system for edge cases and ensure reliability * Collaborate with mechanical and AI engineers to integrate perception, planning, and control into a unified system * Run experiments on ...

Feather Robotics

Full Stack Roboticist

Sonoma, CA · On-site

Stress-test our system for edge cases and ensure reliability * Collaborate with mechanical and AI engineers to integrate perception, planning, and control into a unified system * Run experiments on ...

Doxel

Senior Backend Software Engineer

Bodega Bay, CA

$175K - $220K/yr

... reliability, speed, and clarity matter. You'll partner closely with product, design, backend, CV/ML, and platform engineering teams to turn Doxel's AI and data systems into beautifully executed user ...

ApplyMint

Software Engineer I

Santa Rosa, CA · On-site

$100 - $125/hr

Participate in software module design with a focus on efficiency, reliability, and reusability ... Experience using AI tools for software development. U.S. Export Controls Requirements This job ...

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All JobsAi Reliability Engineer JobsAi Reliability Engineer Jobs in Santa Rosa, CA

Ai Reliability Engineer information

See Santa Rosa, CA salary details

$66.7K

$129K

$154.2K

How much do ai reliability engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai reliability engineer in Santa Rosa, CA is $128,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $141,000.00 per year, depending on experience, location, and employer.

What is an AI reliability engineer?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges AI reliability engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.

What are the key skills and qualifications needed to thrive as an AI reliability engineer, and why are they important?

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What cities near Santa Rosa, CA are hiring for Ai Reliability Engineer jobs?

Cities near Santa Rosa, CA with the most Ai Reliability Engineer job openings:

Ai Reliability Engineer jobs near you
Infographic showing various Ai Reliability Engineer job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $128,983 per year, or $62 per hour.

Staff Software Engineer, Full Stack

Bodega Bay, CA • Remote

Doxel
Software Development • 11 - 50 employees
Learn more about Doxelexternal

$200K - $250K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 27 days ago

Key responsibilities

  • Lead the design and development of full-stack applications for project management, commissioning workflows, and field data capture.

  • Build web and mobile tools that enable field teams to upload and review videos, images, structured forms, IoT readings, and issue documentation.

  • Architect backend services and APIs to support rapid data ingestion, processing, and review at enterprise scale.

Job description

Construction is the second-largest industry in the world—nearly 4x the size of SaaS—yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste.

Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton.

Doxel’s automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow.

Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win. 

Join us as we continue our journey to transform the $15T Construction Industry!


The Role
As a Lead Software Engineer, you will help define and build the next generation of Doxel’s project management, commissioning, and field-enablement tools—systems trusted by the world’s largest general contractors and owners delivering mega-projects at unprecedented scale.
 
You’ll design and deliver full-stack applications that handle massive volumes of complex field data—including videos, images, structured forms, and IoT device outputs—and transform them into fast, intuitive workflows for both office teams and field workers. You’ll architect mobile and web experiences that make capturing, reviewing, and acting on this data effortless in environments where reliability, speed, and clarity matter.
 
As a technical leader, you’ll partner closely with product, design, backend, CV/ML, and platform engineering teams to turn Doxel’s AI and data systems into beautifully executed user experiences. You’ll provide technical leadership end to end shipping 0-1 projects, as well mentoring and coaching across engineering on best practices. 
Your Day to Day
  • You will lead the design and development of full-stack applications powering project management, commissioning workflows, and field data capture
  • Build web and mobile tools that make it simple for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
  • Develop intuitive, high-performance UIs that handle complex data streams and large-scale datasets
  • Architect backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale
What Success Looks Like
  • Collaborating cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
  • Driving full stack and mobile engineering best practices including testing, reliability, and performance optimization
  • Mentoring engineers establishing standards, reviewing architecture, and ensuring high-velocity execution
  • Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
  • Being the champion for usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments
What You Bring
  • 10+ years of experience building and shipping full-stack web and mobile applications
  • Strong expertise with modern full-stack frameworks (e.g., Nuxt.js, Next.js, , or similar)
  • Strong backend engineering experience with Typescript, Python, or Java, including API development
  • Experience architecting applications that handle large-scale multimodal datasets (3d components, videos, images) and/or IoT data inputs
  • Deep experience building UX for field-facing or operationally critical workflows
  • Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
  • Skills in designing domain-driven data models and working with OLTP/OLAP systems
  • Prior experience leading or mentoring small engineering teams
Preferred Experience
  • Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
  • Background with offline-capable architectures and mobile-first data collection tools
  • Experience with 3D visualization (three.js), geospatial data, or computer-vision-powered experiences
  • Exposure to ML/AI-driven feature development
  • Comfort with CI/CD pipelines, observability tooling, and automated testing best practices
Benefits & Company Culture
  • Competitive Base Salary + Equity Package
  • Remote first culture (for most roles)
  • Comprehensive Health Insurance (Medical, Dental, Vision)
  • Home Office Stipend
  • Monthly allowance for cell phone and internet
  • Flexible PTO, generous company holiday policy, and unlimited sick days
Pay is based on a variety of factors such as location, skill level, qualifications, competencies, and overall experience.
Doxel is an equal opportunity employer and actively seeks diversity at our company. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.