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Artificial Intelligence Machine Learning Engineer Jobs in Monterey, CA

... process engineering principles and tools like KAIZEN, Process and Value Stream Mapping, PSR that are the embodiment of the Ralliant Business Systems operating system * Artificial Intelligence ...

Engineer 3 (Full Time)

Pebble Beach, CA · On-site

$28.14 - $33.11/hr

Paint equipment and machinery, using both latex and oil. * Monitor and perform repairs on pool ... We provide opportunities for ongoing learning and development, as well as promotions and transfers ...

... 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 ...

Showing results 21-40

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:

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.

Senior Quality Manager- Electronics

Ralliant

Hollister, CA • On-site

$130.20 - $241.80/hr

Other

Re-posted 20 hours ago


Job description

Senior Quality Manager- ElectronicsSummary

The Sr. Quality Manager for the Electronics building has an important leadership role within the quality organization and reports to the Director of Quality. This role will entail actively supervising operations (manufacturing and customer) quality engineers, data technicians and other technical quality staff as required, while providing dotted-line leadership for other quality functions. As a Sr. Manager, this position entails a balance of people leadership and development and partnering with the other quality, non-quality (operations, program management, procurement, U.S. Government and other external customers) functions to ensure timely and effective resolution on critical quality issues impacting site operations and deliveries to our customers.

As a Sr. Manager, this position requires strong quality leadership while possessing the ability to partner with Operations Quality, Quality Inspection, Supplier Quality managers, Supply Chain and technical staff to ensure timely and effective resolution on critical quality issues impacting site compliance activities.

Key roles and responsibilities will include:
  • People – Support the co-development and implementation of robust career development plans for quality engineering personnel – and other technical staff as required, including skill set development, cross-training, prioritization of development goals and providing them with promotional advancement opportunities within the quality or the broader organization
  • VOC (Voice of the Customer) – Responsible for serving as the primary interface between PacSci and its customer on all quality-related matters. The Operations Quality Manager is tasked with addressing and resolving quality issues promptly, ensuring timely resolutions that meet (or exceed) customer expectations and that deliver satisfactory outcomes
  • Standard work – Develop, implement and optimize onboarding standard work and procedures for quality engineering (manufacturing and customer) and other staff in your reporting structure
  • MRB Engineering – Serve as a technical SME (Subject Matter Expert) as required, and ensure proper quality engineering staff assignments to ensure continuous and timely resolution of MRB team roles, responsibilities and functions
  • Design, implement and enhance command media procedures to ensure effective operations and continuous improvement of the Quality Management System
  • Develop and advocate for critical Key Performance Indicators (KPIs) for the compliance organization
  • Provide training on effective metric usage and ensure their consistent application and refinement for all quality engineering functions.
  • Lead the quality engineering organization using lean process engineering principles and tools like KAIZEN, Process and Value Stream Mapping, PSR that are the embodiment of the Ralliant Business Systems operating system
  • Artificial Intelligence – Support the goal of supporting future AI (Artificial Intelligence) in the collection, analysis and metrics optimization to support enhancing the effectiveness of the quality organization within PacSci
  • RCCA – Support multi-disciplinary teams through complex root cause investigations in an expedited manner to support site operations
  • RCCA – Ensure that each compliance quality engineer is thoroughly proficient in their understanding and application of causal analysis tools and methodologies
  • FRB – Actively engage and deliver effective quality leadership support to the Engineering Failure Review Board (FRB) activities, ensuring thorough analysis and resolution of quality issues
  • Support the planning and realization of future strategic quality process and day-to-day enhancements processes by championing the incorporation of industry-leading automated quality compliance capabilities – including incorporation of AI for compliance (process, procedure, etc.) risk identification, read-across (to other departments, functions, or other Ralliant Operating Companies) and risk mitigation, with the goal of optimizing external/internal audits
  • Act as a facilitator and provide Quality leadership support during internal and external Quality Audits (AS9100D), and for Customer PPB (Production Process Baseline Assessment) audit, and US Government audits as necessary
  • Embrace and execute additional responsibilities as they arise
  • Role requires working supporting operations via 5 day 8-hr workweek and supporting quality weekend staff
  • NPD- new product development, lead and support the Quality Engineers and Quality inspection team in the SMT room
Minimum Qualifications:
  • BS Degree in a technical engineering or quality-related field or comparable work experience. A minimum of 10 years’ experience in quality-centric roles such as: compliance quality, operations quality, program or platform quality, or supplier quality. Note: Mfg. Engineering leadership experience may be considered in lieu of dedicated Quality experience
  • Required – Proficient knowledge of Quality Engineering principles and practices
  • Required – Expert knowledge and experience with AS9100D, ISO9001:2015 and other industry quality standards
  • Proficient in corrective actions and problem-solving methodologies (CAPA) to allow you to serve as “train-the-trainer” in causal analysis and continuous improvement activities
  • Proficient knowledge of Lean operations/process engineering principles
  • Proficient knowledge of PWA and PWB manufacturing principles and processes
  • US Citizenship
Preferred:

Advanced degree in a technical engineering, quality or operations-related field

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Ralliant Corporation Overview

Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next‑generation breakthroughs to life — faster, smarter, and more reliably. Our high‑performance instruments, sensors, and subsystems fuel mission‑critical advancements across industries, enabling real‑world impact where it matters most. At Ralliant we’re building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.

About PacSci EMC

Pacific Scientific Energetic Materials Company (PacSci EMC), a Ralliant Corporation (NYSE: RAL) operating company, makes critical missions possible. From concept to demonstration to delivery, we provide leading‑edge energetic materials, devices and subsystems for use in military and commercial applications. With engineering and manufacturing capability in Arizona and California, our associates work together to solve the toughest technical challenges with a dedication to Safety First, Quality Every TimeTM. We enable success for innumerable missions on a daily basis, impacting the lives of military personnel, law enforcement officers, commercial airline pilots, astronauts, and oil field operators. For nearly a century, PacSci EMC’s experience and expertise has been relied upon in the times When Milliseconds MatterTM. For more information, go to www.psemc.com. PacSci EMC is an equal opportunity employer. We do not discriminate against any applicant or employee on the basis of race, sex, religion, age, national origin, color, disability, or veteran status. Nonetheless, US citizenship is a requirement for this position due to U.S. Government contractual requirements. We are committed to providing a workplace free of any discrimination or harassment. We all have a role in building a community where everyone belongs. Where you can speak your mind, be yourself, and feel supported. It’s how we achieve more together — for each other, for our customers, and for the world. https://www.Ralliant.com/inclusion-diversity.

We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@Ralliant.com.

Bonus or Equity

This position is also eligible for bonus as part of the total compensation package.

Pay Range

The salary range for this position (in local currency) is 130200.00-241800.00

Is this role subject to ITAR?

The essential duties of this position require adherence to U.S. Government export control regulations. Accordingly, candidates must either be U.S. Persons (i.e., U.S. citizens, U.S. lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3)) or be prepared to collaborate with the company in securing the necessary U.S. government export authorizations. While the company encourages all interested applicants to apply, please be aware that ongoing employment is dependent upon obtaining the appropriate government export authorizations.

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