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Artificial Intelligence Machine Learning Engineer Jobs in Redlands, CA

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

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Artificial Intelligence Machine Learning Engineer information

See Redlands, CA salary details

$31.7K

$129.6K

$194.7K

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

As of Sep 5, 2026, the average yearly pay for artificial intelligence machine learning engineer in Redlands, CA is $129,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $155,900.00 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 Redlands, CA are hiring for Artificial Intelligence Machine Learning Engineer jobs?

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

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Redlands, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $129,553 per year, or $62.3 per hour.

Full-time

Re-posted 23 days ago


Loma Linda University Health rating

8.2

Company rating: 8.2 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

100th of 1,065 rated hospitals


Job description

Shared Services: Center for Data Sciences (Full-Time, Day Shift) -

Job Summary: The Director for the Center of Data Science advances cutting-edge research and develops transformative solutions at the intersection of biology, medicine, and data science. Contributes to campus-wide groundbreaking initiatives that will drive scientific innovation, enhance patient care, and align our mission to improve lives. Performs other duties as needed.

Education and Experience: Doctor of Philosophy degree in Biostatistics, Bioinformatics, Computational Biology, Data Science, or a related field required. Minimum five years of applied experience in biostatistics, bioinformatics, and Artificial Intelligence and Machine Learning applications required.

Knowledge and Skills: Strong understanding of life sciences, including genomics, systems biology, and molecular biology. Working knowledge of descriptive and inferential statistics, predictive modeling, multivariate analysis, Bayesian statistics experimental design and Model validation and interpretation. Knowledge of bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl), clinical and big data integration, multi-omics analyses, and translational research. Proficiency in statistical programming languages (e.g., R, SAS) and general-purpose programming languages (e.g., Python, Julia, or C++). Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn) and advanced AI algorithms. Familiarity with cloud computing platforms (e.g., AWS, Azure, or GCP) and containerization tools (e.g., Docker, Kubernetes). Exceptional analytical and problem-solving skills. Able to read; write and speak with professional quality; use computer and software programs necessary to the position (e.g., Word, Excel, Power Point, Access); operate/troubleshoot basic office equipment required for the position. Relate and communicate positively, effectively, and professionally with others; provide leadership; be assertive and consistent in enforcing policies ensuring compliance with regulatory standards, rules and laws; work calmly and respond courteously when under pressure; lead, supervise, teach, and collaborate; accept direction. Think critically; work independently; perform basic math and statistical functions; manage multiple assignments; compose written material; work well under pressure; problem solve; organize and prioritize workload; recall information with accuracy; pay close attention to detail. Distinguish colors as necessary; hear sufficiently for general conversation in person and on the telephone, and identify and distinguish various sounds associated with the workplace; see adequately to read computer screens, and written documents necessary to the position.

Licensures and Certifications: None.

Our mission is to continue the teaching and healing ministry of Jesus Christ. Our core values are compassion, excellence, humility, integrity, justice, teamwork and wholeness.
Loma Linda University Health is a Seventh-day Adventist, faith and values based Christian institution. Candidates must understand and embrace the mission, purpose, and identity of Loma Linda and its affiliated entities.

We are an equal opportunity employer committed to the principles of diversity. We provide equal opportunities in all aspects of the employment process to every individual, regardless of gender, race, color, age, national origin, ancestry, physical or mental disability, marital or veteran status, genetic information or any other characteristic protected by law. In addition, we will provide reasonable accommodations for otherwise qualified individuals requesting an accommodation due to a disability. If you need accommodation assistance with accessing our job listings or completing an application, or during any other phase of employment with us, please contact Human Resources Management at (909) 651-4001.

Loma Linda University Shared Services is a religiously-qualified Equal Opportunity Employer under Title VII of Civil Rights Act of 1964. No question on this application is asked for the purpose of unlawfully limiting or excluding any applicant's consideration for employment because of race, color, religion, gender, age, national origin, disability, genetic information, or any other status protected by applicable law. If you need a reasonable accommodation in the hiring process, please notify Human Resource Management.

We appreciate your interest in Loma Linda and wish you success in your job search!

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About Loma Linda University Health

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Loma Linda University Health (LLUH) is an esteemed healthcare organization situated in Loma Linda, California, US. Established in 1905, it was initially known as the College of Medical Evangelists, and it operated as the official medical institution of the Seventh-day Adventist Church until the name was changed to LLUH in 1961. LLUH is very much active in the healthcare and education sectors, providing a vast range of services such as medical treatment, research, and health education. The organization’s core mission is "to continue the teaching and healing ministry of Jesus Christ", which underlines its binding values of compassion, integrity, excellence, freedom, and justice.

Industry

Health care and social assistance and hospitality services

Company size

10,000+ Employees

Headquarters location

Loma Linda, CA, US