ZipRecruiter

Log In

1

Computer Science Artificial Intelligence Jobs in California

next page

Showing results 1-20

All JobsComputer Science Artificial Intelligence JobsComputer Science Artificial Intelligence Jobs in California

Computer Science Artificial Intelligence information

See California salary details

$49.8K

$109.9K

$135.7K

How much do computer science artificial intelligence jobs pay per year?

As of Jun 17, 2026, the average yearly pay for computer science artificial intelligence in California is $109,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $135,200.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

In the field of computer science and artificial intelligence, roles such as AI ethicists, AI system trainers, and cybersecurity specialists are expected to persist as AI advances. These jobs require human judgment, oversight, and specialized skills that are difficult to automate fully.

What does a typical day look like for someone working in Computer Science Artificial Intelligence?

A typical day in a Computer Science Artificial Intelligence role often involves researching and developing new models, collaborating with data scientists and software engineers, and testing or optimizing machine learning algorithms. You may spend a significant amount of time analyzing datasets, building prototypes, and reviewing code, as well as meeting with multidisciplinary teams to align on project goals. The role is dynamic, with a mixture of individual problem-solving and group brainstorming to tackle complex challenges. This variety ensures continual learning and hands-on interaction with the latest technological advancements in artificial intelligence.

What are the key skills and qualifications needed to thrive in the Computer Science Artificial Intelligence position, and why are they important?

To thrive in a Computer Science Artificial Intelligence role, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically at least a bachelor's degree in computer science or related fields. Hands-on experience with frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and familiarity with cloud platforms is highly desirable, and certifications such as AWS Certified Machine Learning can be advantageous. Analytical thinking, problem-solving, teamwork, and effective communication are important soft skills for success in both independent and collaborative settings. These skills and qualifications enable professionals to design, implement, and deploy AI solutions that address real-world business challenges.

What can you do with a computer science degree in AI?

A computer science degree in AI prepares individuals for roles such as AI engineer, machine learning engineer, data scientist, or research scientist. These roles involve developing algorithms, building intelligent systems, and working with tools like Python, TensorFlow, and neural networks to solve complex problems across industries like healthcare, finance, and technology.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning executives, or specialized data scientists, often in large tech companies or startups. These roles usually require advanced skills in deep learning, programming, and data analysis, along with significant experience and sometimes leadership responsibilities.

What is the salary of CS in AI?

The salary for a Computer Science professional specializing in Artificial Intelligence typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced AI engineers with advanced skills in machine learning and deep learning can earn higher salaries, especially in tech hubs.

What is a Computer Science Artificial Intelligence job?

A Computer Science Artificial Intelligence (AI) job involves developing, implementing, and improving AI technologies using machine learning, deep learning, and data analysis techniques. Professionals in this field work on algorithms, automation, and intelligent systems that can solve complex problems across industries like healthcare, finance, and robotics. Roles may include AI engineer, data scientist, or machine learning specialist, requiring strong programming skills in languages like Python and knowledge of AI frameworks.

What are the most commonly searched types of Computer Science Artificial Intelligence jobs in California? The most popular types of Computer Science Artificial Intelligence jobs in California are:
What are popular job titles related to Computer Science Artificial Intelligence jobs in California? For Computer Science Artificial Intelligence jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Artificial Intelligence jobs in California look for? The top searched job categories for Computer Science Artificial Intelligence jobs in California are:
What cities in California are hiring for Computer Science Artificial Intelligence jobs? Cities in California with the most Computer Science Artificial Intelligence job openings:
Computer Science Artificial Intelligence jobs near you
Infographic showing various Computer Science Artificial Intelligence job openings in California as of June 2026, with employment types broken down into 29% Internship, 57% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $109,885 per year, or $52.8 per hour.
Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

Senior Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 11 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

The AI, Search & Knowledge Platforms team builds amazing products and services for Apple's customers while serving as a foundational partner to teams across Apple. The team delivers world-class AI, search, and knowledge systems powering Siri, Apple Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. ..As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. ..You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products and conduct applied research to transfer the cutting edge research in generative AI to production ready technologies.
As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands-on experience in fine-tuning deep learning and large language models.
2+ years of experience working with Deep learning or LLM model development for various NLP tasks and RAG applications including prompt engineering, training data collection and generation, model fine-tuning and model evaluation.Experience working with Python and at least one of the deep learning frameworks such as TensorFlow, PyTorch, or JAX.Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.4+ years of experience with large-scale model training, optimization, and deploymentOne or more scientific publications in various conferences and journalsOutstanding communication and interpersonal skills with ability to work with cross-functional teams.1+ year of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas:Supervised Fine-tuning (SFT) with Rejection SamplingPreference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.)Parameter efficient fine-tuning techniques (e.g LoRA)Hallucination reduction and factual accuracy improvementsDesigning and implementing safety guardrails

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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

View All Apple Jobs

Apply