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Machine Learning Ai Jobs in California (NOW HIRING)

Rivian

Machine Learning/AI Engineer

Palo Alto, CA

$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 ...

Rivian

Machine Learning/AI Engineer

Palo Alto, CA

$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 ...

Strava

Machine Learning Engineer

San Francisco, CA

Machine Learning Engineer We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models ...

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All JobsMachine Learning Ai JobsMachine Learning Ai Jobs in California

Machine Learning Ai information

See California salary details

$25.2K

$42K

$86.8K

How much do machine learning ai jobs pay per year?

As of Jun 13, 2026, the average yearly pay for machine learning ai in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

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 data analysis and algorithms.

What engineers make $500,000?

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

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 a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually 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.

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.

Which 3 jobs will survive AI?

Machine Learning AI professionals are likely to continue to find demand in roles such as AI researchers, data scientists, and AI ethics specialists, as these require advanced expertise, critical thinking, and understanding of complex algorithms. These roles involve tasks that are difficult to fully automate and often require ongoing innovation, specialized skills, and domain knowledge. Staying updated with programming languages like Python and frameworks such as TensorFlow can enhance job security in this field.

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 June 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.
Machine Learning(AI)

Machine Learning(AI)

Syntricate Technologies

San Jose, CA

Other

Posted 5 days ago

Job description

Position- Machine Learning(AI)
Duration-Contract
Location-San Jose, CA
JD
WHAT YOU'LL BE DOING Support users deploying AI models on Ryzen AI and other AI-enabled AMD CPUs Collaborate with R&D to improve the quality and the usability of AMD's development tools Develop and validate debug, optimization and deployment techniques Explore and document how to port cutting-edge AI models to AMD's devices Act as liaison for AI/Client Application Consultants located in Hyderabad, India KEY QUALIFICATIONS Bachelor/master's in computer science, computer engineering, data science/analytics, or a related field Strong Python programming skills Good C/C++ programming skills Excellent written/verbal communication skills Experience in a field associated with the deployment of AI/Client models Experience with AI framework like ONNX, Pytorch or TensorFlow Strong analytical skills WHAT WILL SET YOU APART Hands-on experience in optimizing and integrating an AI model in a SW application Prior experience in leading a small team of engineers
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : 781-552-4333 |
Email : pallavi@syntricatetechnologies.com | Web: www.syntricatetechnologies.com
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
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