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Remote Risk Engineer Jobs in San Clemente, CA (NOW HIRING)

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

We are building risk-aware, reliable, and field-ready AI systems that address the most complex ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

We are building risk-aware, reliable, and field-ready AI systems that address the most complex ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

NextDeavor Inc.

.Net Developer/Angular Developer

Irvine, CA · On-site +1

$57.82 - $60.54/hr

This role is primarily onsite (strong preference for onsite at the Alton location) but remote or ... Provide weekly status reporting, issue tracking, and risk management to stakeholders Here's What ...

Deloitte

Manager - ServiceNow

Costa Mesa, CA · On-site +1

It includes design of the cyber organization, governance, and risk assessments. Qualifications ... Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering ...

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All JobsRisk Engineer JobsRemote Risk Engineer JobsRemote Risk Engineer Jobs in San Clemente, CA

Remote Risk Engineer information

See San Clemente, CA salary details

$40K

$122K

$201.7K

How much do remote risk engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote risk engineer in San Clemente, CA is $122,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $159,600.00 per year, depending on experience, location, and employer.

How does a Remote Risk Engineer typically collaborate with cross-functional teams to address potential risks?

As a Remote Risk Engineer, you’ll regularly work with cross-functional teams such as IT, operations, product management, and compliance to identify, assess, and mitigate potential risks. Collaboration often involves virtual meetings, shared documentation, and real-time communication tools to ensure risks are clearly communicated and addressed promptly. You may participate in risk assessments, review system designs, and provide recommendations to enhance security and operational resilience. Building strong relationships and maintaining proactive communication with team members is key to ensuring risks are managed effectively, even when working remotely.

What are the key skills and qualifications needed to thrive as a Remote Risk Engineer, and why are they important?

To thrive as a Remote Risk Engineer, you need a solid background in risk assessment, engineering principles, and relevant degree qualifications such as in engineering or risk management. Familiarity with risk modeling software, data analysis tools, and industry-specific certifications like Certified Risk Engineer (CRE) are often required. Strong analytical thinking, problem-solving, and effective virtual communication skills help you excel when collaborating with clients and remote teams. These capabilities are crucial to accurately identifying risks, designing mitigation strategies, and ensuring the safety and compliance of client operations from a remote environment.

What is the difference between Remote Risk Engineer vs Remote Underwriter?

AspectRemote Risk EngineerRemote Underwriter
Required CredentialsBachelor's in Engineering, Risk Management certificationsBachelor's in Finance, Insurance certifications
Work EnvironmentAnalyzing technical risks, data modelingAssessing insurance applications, policy evaluation
Employer & Industry UsageInsurance, finance, engineering firmsInsurance companies, brokerage firms

Remote Risk Engineers focus on analyzing technical and operational risks using engineering principles, while Remote Underwriters evaluate insurance applications and determine policy terms. Both roles require analytical skills and industry-specific certifications, often working remotely for insurance or risk management companies. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What is a Remote Risk Engineer?

A Remote Risk Engineer is a professional who evaluates and manages risks for an organization, often related to safety, cybersecurity, or insurance, while working from a remote location. They analyze data, identify potential hazards or vulnerabilities, and recommend solutions to minimize losses or damages. This job typically requires strong analytical skills, knowledge of risk assessment methodologies, and effective communication, as much of the work may involve collaborating virtually with teams and clients. Remote Risk Engineers may specialize in various industries, including finance, manufacturing, or technology.
What are popular job titles related to Remote Risk Engineer jobs in San Clemente, CA? For Remote Risk Engineer jobs in San Clemente, CA, the most frequently searched job titles are:
What cities near San Clemente, CA are hiring for Remote Risk Engineer jobs? Cities near San Clemente, CA with the most Remote Risk Engineer job openings:
Remote Risk Engineer jobs near you

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Posted 4 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected 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.