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Ai Reliability Engineer Jobs in Oregon (NOW HIRING)

Site Reliability Engineer TELCOR Inc, a leading innovator in laboratory software, is looking for a Site Reliability Engineer to join our TELCOR AI Systems team! Do you have strong experience in cloud ...

OR · On-site

$57 - $75.75/hr

We are seeking a passionate AI Tools Engineer to join the Site Reliability Engineering (SRE) Data Team. Applicants with SRE or equivalent experience are encouraged. What you will be doing: You will ...

OR

$57 - $75.75/hr

Because we are an AI-first company, this role also heavily involves engineering scalable ... Measuring and achieving reliability through engineering and operations automation. * Monitoring and ...

OR · On-site

$57 - $75.75/hr

Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx ... We're looking for a Lead SRE to own reliability outcomes for a modern split-plane, multi-region ...

OR

$57 - $75.75/hr

Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline to design, build and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

Demonstrated experience improving SRE AI fluency. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation ...

Demonstrated experience improving SRE AI fluency. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation ...

OR · On-site

$57 - $75.75/hr

Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline to design, build and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

OR · On-site

$57 - $75.75/hr

Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline to design, build and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

OR · Hybrid

$136.90K - $152.10K/yr

By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved ... The Database Reliability Engineer (DBRE) is responsible for managing, building, maintaining ...

OR · On-site

$158.20K - $200.70K/yr

Your Impact As a Customer Reliability Engineer (CRE), you are the tip of the spear in interacting ... the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that ...

New

$57 - $75.75/hr

... ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and ... s Engineer with a strong focus on observability and reliability to join our health project team.

We are looking for highly motivated Senior Software Engineers to join our Fabric Networking team ... Experience with large-scale AI systems, including platform bringup, validation, reliability ...

Senior Infrastructure Engineer/SRE

OR · On-site +1

$108.40K - $147.40K/yr

Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets. What we are looking for: * 5+ years experience in DevOps, Site Reliability ...

Integrate AI review signals with our SRE observability stack (logs, metrics, traces) to correlate code changes with incidents and anomalies, closing the loop from PR to production behavior. * Encode ...

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Ai Reliability Engineer information

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 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 AI Reliability Engineers?

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 is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as AI executives, chief AI officers, or lead AI engineers at top technology companies, often involving advanced expertise in machine learning, deep learning, and AI strategy. These positions usually require extensive experience, specialized skills, and may include performance-based bonuses or stock options that contribute to the high total compensation.

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 are popular job titles related to Ai Reliability Engineer jobs in Oregon? For Ai Reliability Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Oregon look for? The top searched job categories for Ai Reliability Engineer jobs in Oregon are:
What cities in Oregon are hiring for Ai Reliability Engineer jobs? Cities in Oregon with the most Ai Reliability Engineer job openings:
Site Reliability Engineer

Site Reliability Engineer

TELCOR Inc

On-site, Remote

$125K - $165K/yr

Full-time

Posted 19 days ago


Job description

Site Reliability Engineer
TELCOR Inc, a leading innovator in laboratory software, is looking for a Site Reliability Engineer to join our TELCOR AI Systems team! Do you have strong experience in cloud infrastructure, distributed systems and production operations? Do you focus on uptime, resilience, observability and incident response? This may be the role for you! Along with the challenging and rewarding aspects of the position, TELCOR offers a culture where an individual is valued, encouraged to grow, and is a contributor to the future of the Company. TELCOR's headquarters is in Lincoln, NE and we also have an office in San Francisco, CA; this position can also be remote.
Copy and paste the following link into your browser to learn more about TELCOR and what it means for TELCOR to be a certified Great Place To Work®: https://www.greatplacetowork.com/certified-company/7054288​
The Site Reliability Engineer will help ensure the reliability, scalability, and performance of the systems that power our AI products. This role will also design and operate resilient systems across cloud and containerized environments, as well as manage production infrastructure and deployment workflows across environments.
Pay Range: $125,000 - $165,000 annually
Requirements
  • Experience with distributed systems
  • Experience with Redis
  • Experience with queuing systems
  • 2+ years of experience with Kubernetes
  • Experience with AWS
  • 2+ years of experience with Terraform
  • Experience with observability

TELCOR is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or any other characteristic protected by law. Qualified applicants will be considered based on their individual merit alone.
TELCOR complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring, and the California Fair Chance Act by considering qualified applicants with arrest and conviction records in accordance with these regulations.
All trademarks, service marks, trade names, trade dress, product names and logos appearing herein are the property of their respective owners.
Microsoft is either registered trademark or trademark of Microsoft Corporation in the United States and/or other countries.