ZipRecruiter

Log In

1

Machine Learning Ai Jobs in California (NOW HIRING)

Rivian

Machine Learning/AI Engineer

Palo Alto, CA · On-site

$139K - $155K/yr

... aware AI. Hands-on experience with quantized model deployment, ML design stacks, and code ... Experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and their low-level IRs or ...

Rivian

Machine Learning/AI Engineer

Palo Alto, CA · On-site

$139K - $155K/yr

Role Summary We are looking for a Research Scientist with deep expertise in quantized deep learning ... aware AI. • Hands-on experience with quantized model deployment, ML design stacks, and code ...

Rivian

Machine Learning/AI Engineer

Palo Alto, CA

$139K - $155K/yr

Experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and their low-level IRs or ... aware AI. Hands-on experience with quantized model deployment, ML design stacks, and code ...

Roku

Senior Machine Learning Engineer

San Jose, CA · Remote

$229K - $367K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... Stay up to date with the latest advancements in AI, ML, and related technologies, and quickly learn ...

next page

Showing results 1-20

All JobsMachine Learning Ai JobsMachine Learning Ai Jobs in California

Machine Learning Ai information

What are the key skills and qualifications needed to thrive as a Machine Learning AI Engineer, and why are they important?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, AI Software Developer, and AI Product Manager. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and understanding of algorithms and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning AI specialist?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What is AI ML salary?

The salary for a Machine Learning Engineer or AI specialist varies based on experience, location, and skill set, but typically ranges from $80,000 to over $150,000 annually in many regions. Advanced skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch can influence compensation levels.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning AI professional?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What engineer makes $500,000 a year?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong industry demand can earn salaries of $500,000 or more annually, especially in high-paying sectors like technology and finance. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.

What is the difference between Machine Learning Ai vs Data Scientist?

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

What are popular job titles related to Machine Learning Ai jobs in California? For Machine Learning Ai jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Ai jobs in California look for? The top searched job categories for Machine Learning Ai jobs in California are:
What cities in California are hiring for Machine Learning Ai jobs? Cities in California with the most Machine Learning Ai job openings:
Machine Learning Ai jobs near you
Infographic showing various Machine Learning Ai job openings in California as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Staff Machine Learning/AI Engineer

Staff Machine Learning/AI Engineer

Protingent

Hillsborough, CA • On-site

$297K/yr

Full-time

Posted 17 days ago

Job description


Position Title: Staff Machine Learning Engineer
Position Description: Protingent Staffing has an exciting contract opportunity located in San Francisco, CA or NYC, NY.
Job Responsibilities:
  • Prototype, develop and iterate on new product areas for our client giving our customers powerful AI tools for transforming data and identifying ways to reduce their emissions
  • Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data
  • Collaborate with product and other AI engineering teams to set product and technical strategy
  • Build evals, fine tune, create agent harnesses to build reliable AI powered systems
  • Keep up with developments and state-of-the-art in AI to determine what is relevant
  • Write performant, well-crafted, tested, and maintainable code across our technical stack

Job Qualifications:
  • 8+ years of experience in Machine Learning / AI engineering
  • Experience building products using LLMs, embeddings and other ML technologies
  • Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies
  • Experience leading cross functional teams in an innovative fast moving environment
  • A strong foundational understanding of machine learning models and practice, including model evaluation and performance
  • Strong full-stack development skills

Job Details:
  • Job Type: Direct Hire
  • Location: San Francisco, CA or NYC, NY.
  • Salary Range: $247-297K

About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation - from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.
Meet Your Recruiter
Kalyan Krishna
I have been working in technical recruiting since 2011 and specialize in talent acquisition. My recruiting style highlights company culture and builds pipelines of quality candidates. I can help you maintain motivation until you reach your goals, and my philosophy is "don't be afraid to start over". I love recruiting because I like to meet and interact with exciting people. Recruiting allows me to get to know hundreds of outstanding clients and strive to leave a lasting impression on them. I love baking and gardening in my free time, and I respect women. Reach out to me to get started now!

Apply