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Artificial Intelligence Machine Learning Engineer Jobs in Monterey, CA

ARSIEM

Incident Handler Tier 2

Monterey, CA · On-site

$98K - $109K/yr

... Engineering, Information Technology, Cybersecurity, or related field. * Extensive experience ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

ARSIEM

Incident Handler Tier 2

Monterey, CA · On-site

$98K - $109K/yr

... Engineering, Information Technology, Cybersecurity, or related field. * Extensive experience ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

ARSIEM

Incident Handler Tier I

Monterey, CA

$82K - $91K/yr

AND/OR a bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

ARSIEM

Incident Handler Tier I

Monterey, CA

$82K - $91K/yr

AND/OR a bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

ARSIEM

Incident Handler Tier I

Monterey, CA · On-site

$82K - $91K/yr

AND/OR a bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

SP+

On Call CDL Shuttle Driver (DOT)

Seaside, CA · On-site

... an artificial intelligence company for the real world. We use computer vision to enable checkout-free parking experiences. So there's no fumbling with tickets, machines, apps, or credit cards. You ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Monterey, CA

Artificial Intelligence Machine Learning Engineer information

See Monterey, CA salary details

$34.9K

$142.7K

$214.4K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for artificial intelligence machine learning engineer in Monterey, CA is $142,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $171,800.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What cities near Monterey, CA are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Monterey, CA with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Monterey, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $142,705 per year, or $68.6 per hour.

Incident Handler Tier 2

ARSIEM

Monterey, CA • On-site

$98K - $109K/yr

Full-time

Re-posted 17 days ago

Job description

About ARSIEM Corporation
At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients. We provide support to multiple agencies across the United States Government. ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support.
As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients. That means a career packed with opportunities to grow and the ability to have an impact on every client you work with.
ARSIEM is looking for a motivated individual for an Incident Handler Tier 2 to work with cybersecurity incident response processes, procedures, and remediation practices. This is a great opportunity to work in a Cyber Security Operations Center (CSOC) and gain experience with cyber tools such as SIEM, Endpoint Protection, Network Access Controller, Cloud security, Vulnerability scanning, and additional proof of concept technologies. This position will support one of our government clients in Monterey, CA.
Responsibilities
  • Provide support to a U.S. Navy Security Operations Center (SOC).
  • Review, triage, research, and address tickets, alerts, and requests.
  • Propose new detection and mitigation techniques and workflows.
  • Leverage emerging threat intelligence (Indicators of Compromise, updated rules, etc.) to identify affected systems and the scope of the attack.
  • Review and collect asset data (logs, configurations, running processes, etc.) on these systems for further investigation.
  • Determine and direct remediation and recovery efforts.
  • May manage and configure security monitoring tools (SIEM, IDS, Firewall, Access Control Lists, etc.) to mitigate existing threats/vulnerabilities.

Minimum Qualifications
  • At least three (3) years of professional experience in incident detection and response, malware analysis, or cyber forensics, and a bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or related field.
  • Extensive experience working with various security methodologies, standard operating procedures, processes, and workflows, and advanced knowledge of TCP/IP protocols.
  • Experience configuring and implementing various technical security solutions.
  • Extensive experience providing analysis and trending of security log data from a large number of heterogeneous security devices.
  • Must possess knowledge of the following areas related to cybersecurity: Vulnerability Assessment, Intrusion Prevention and Detection, Access Control and Authorization, Policy Enforcement, Application Security, Protocol Analysis, Firewall Management, Incident Response, Encryption, Web filtering, and Advanced Threat Protection.

$98,000 - $109,000 a year
The ARSIEM pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other laws.
Benefits:
For an overview of our benefits, please visit our benefits tab.
https://www.arsiem.com/careers/
Original Posting Date:
2024-11-15
Clearance Requirement: This position requires an active Top Secret clearance. You must be a US Citizen for consideration.
Candidate Referral: Do you know someone who would be GREAT at this role? If you do, ARSIEM has a way for you to earn a bonus through our referral program for persons presenting NEW (not in our resume database) candidates who are successfully placed on one of our projects. The bonus for this position is $3,500, and the referrer is eligible to receive the sum for any applicant we place within 12 months of referral. The bonus is paid after the referred employee reaches 6 months of employment.
ARSIEM is proud to be an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.
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.

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