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Artificial Intelligence Machine Learning Engineer Jobs in California

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... We're looking for an exceptional Machine Learning Engineer to help build the systems that make this ...

Machine Learning Engineer Machina Labs is changing the way manufacturing works. We build ... Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely ...

Masters in Artificial intelligence, Machine Learning, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Preferred ...

Sr. Machine Learning Engineer Are you interested in enhancing the capabilities of Siri and Apple ... Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience in artificial intelligence, machine learning and/or deep learning * Experience with ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience in artificial intelligence, machine learning and/or deep learning * Experience with ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... Experience in artificial intelligence, machine learning and/or deep learning * Experience with ...

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

About Machina Labs Engineering moves at software speed. Manufacturing doesn't. Yet. Machina Labs is ... Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely ...

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Artificial Intelligence Machine Learning Engineer information

See California salary details

$31.1K

$127.1K

$191K

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

As of Jun 14, 2026, the average yearly pay for artificial intelligence machine learning engineer in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation. Compensation at this level reflects extensive expertise, strategic impact, and often involves stock options or bonuses in addition to base salary.

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 engineers make $500,000?

Artificial Intelligence and Machine Learning Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in leadership roles.

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.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming languages like Python, machine learning frameworks, and data analysis to develop and implement AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers make?

AI ML engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can command higher salaries, often exceeding $200,000.
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in California look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in California are:
What cities in California are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in California with the most Artificial Intelligence Machine Learning Engineer job openings:
Machine Learning Engineer, Camera & Photos

Machine Learning Engineer, Camera & Photos

Apple

Cupertino, CA • On-site

Full-time

Posted 18 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Do you have a passion for building the best photos app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Photos Intelligence team in Camera & Photos develops privacy-respecting, Artificial Intelligence (AI) and Machine Learning (ML) technologies to ship Photos features and emotional experiences to hundreds of millions of users worldwide. We are looking for a Machine Learning Engineer to join our team and be a part of this mission.
In this role, you will be working on applications of generative AI models and algorithms for Apple Intelligence features. Candidates should have a proven track record that demonstrates a deep understanding of AI and ML algorithms, a passion for designing and developing high-quality software, strong collaboration, and excellent interpersonal skills.
Solid foundation in machine learning and deep learning principlesHands on experience with large language models (LLMs), prompt optimization, and fine tuning of LLMsStrong programming and software engineering experience in one or more of the following languages: Python, C, C++, SwiftBachelor's or Master's in Computer Science, Electrical Engineering, Applied Mathematics, or a related field
Experience optimizing Machine Learning and Deep Learning algorithms for embedded systemsExperience with large vision-language and multi-modal foundation models

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976