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Artificial Intelligence Machine Learning Jobs in California

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$144K - $189K/yr

Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field ... * 5+ years of experience in AI, machine learning, or related fields, with a track record of ...

The Machine Learning Platform Technology team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning. Our infrastructure and ...

Required : • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. • 3+ years of experience in applied machine learning or ML engineering ...

Required : • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. • 3+ years of experience in applied machine learning or ML engineering ...

Machine Learning Engineer

Santa Clara, CA · On-site

$150K - $277K/yr

... Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience 3+ years of industry related experience, working in collaborative ...

Showing results 41-60

Artificial Intelligence Machine Learning information

See California salary details

$13

$26

$47

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

As of Sep 13, 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.

Is artificial intelligence machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. Continuous learning and staying updated with new developments are important for long-term career growth.

What jobs can I get with artificial intelligence machine learning?

Artificial Intelligence and Machine Learning professionals can pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, Research Scientist, and AI Software Developer. These roles typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

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 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:

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

Senior Machine Learning Engineer

Palo Alto, CA • On-site

Klaviyo
Marketing • 1 - 5K employees

$144K - $189K/yr

Full-time

Posted 12 days ago


Job description

Sr. Machine Learning Engineer

Palo Alto, CA (Onsite 5x a week)

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 200,000+ customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Sr. Machine Learning Engineer at Klaviyo, you will help build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting-edge techniques from deep learning, recommender systems, language modeling, and more to integrate artificial intelligence into our product and bring customers value. You will need to deep dive into the product and the code to understand and contribute to solutions with your technical knowledge and experiences. You will be working with partners in Engineering, Product, and Design to solve challenging problems, and talking to stakeholders and customers firsthand.

Things you'll do & make a difference

  • Train and deploy large-scale Machine Learning models in production systems to improve the values our product provide to our customers
  • Create AI engines or agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business and demonstrably outperform our human customers at Klaviyo.
  • Introduce conversational AI interfaces into our software to make our customers more efficient users of our products.
  • Build generative AI models that can automatically generate content for marketing given customer input on context, to maximize customer ROI or improve customers' productivity.
  • Work in high impact environments with fast experimentation and product development cycles

What we are looking for:

  • Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience in AI, machine learning, or related fields, with a track record of successfully leading large-scale AI / machine learning projects launched in products with a significant impact on users / customers.
  • Experience with machine learning frameworks such as Huggingface, PyTorch, Tensorflow, Keras; Experience with distributed training with Spark, Ray, etc.
  • Experience leading technical projects and working with engineering teams and product managers successfully to deliver customer-facing features
  • Experience of developing and putting machine learning models into production, while also owning and maintaining production models long term
  • Experience owning the full product lifecycle of ML development, including defining success metrics, designing and analyzing A/B tests, and iterating based on result
  • Experience mentoring others

Nice to have:

  • Experience with recommendation systems, including designing, training, and deploying recommendation models, as well as building retrieval and ranking systems.
  • Experience working in B2B businesses and interacting with customers directly
  • Experience developing technical roadmaps for solving complex business problems using Machine Learning
  • Experience fine-tuning and productionizing transformer-based models at scale, particularly large language models.