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Artificial Intelligence Machine Learning Jobs in California

Apple

Machine Learning Engineer- GenAI

Cupertino, CA · On-site

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

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$13

$26

$47

How much do artificial intelligence machine learning jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for artificial intelligence machine learning in California is $26.00, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $27.50 per hour, depending on experience, location, and employer.

What is an artificial intelligence machine learning?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What does an artificial intelligence machine learning professional do?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in artificial intelligence machine learning?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), 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 like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in California?

The most popular types of Artificial Intelligence Machine Learning jobs in California are:

What are popular job titles related to Artificial Intelligence Machine Learning jobs in California?

For Artificial Intelligence Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning jobs in California look for?

The top searched job categories for Artificial Intelligence Machine Learning jobs in California are:

What cities in California are hiring for Artificial Intelligence Machine Learning jobs?

Cities in California with the most Artificial Intelligence Machine Learning job openings:

Artificial Intelligence Machine Learning jobs near you
Infographic showing various Artificial Intelligence Machine Learning job openings in California as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,086 per year, or $26 per hour.

Staff/Sr. Machine Learning Engineer, Foundation Models - AI, Search & Knowledge Platforms

Apple

Santa Clara, CA • On-site

Full-time

Re-posted 20 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

We are Foundation Model Inference Team, within AI, Search & Knowledge Platform Technologies organization. Our team is responsible to build Inference stack to power Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. As part of this group, you will get a chance to bring Intelligence to billions of users across the world. You will have an opportunity to make difference in life of people by empowering them with AI. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at scale of Apple.
Description
Work along side Foundation Model Research team to optimize inference for cutting edge model architectures.
Work closely with product teams to build Production grade solutions to launch models serving millions of customers in real time.
Build tools to understand bottlenecks in Inference for different hardwares and use cases.
Mentor and guide engineers in the organization.
Minimum Qualifications
5+ years of experience leading and driving complex, ambiguous projects.
Experience with LLM inference stack
Familiarity with GPU programming concepts using CUDA.
Familiarity with one of the popular ML Frameworks like Pytorch, Tensorflow.
Have experience with high throughput services particularly at supercomputing scale.
Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow.
BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
Preferred Qualifications
Proficient in building and maintaining systems written in modern languages (eg: Golang, Python)
Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
Familiarity with Nvidia TensorRT-LLM, vLLM, DeepSpeed, Nvidia Triton Server etc.
Experience writing custom CUDA kernels using CUDA or OpenAI Triton.
MS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field.

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

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