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Machine Intelligence Jobs in California (NOW HIRING)

Cohu

Senior Systems Engineer

San Diego, CA · On-site

$107.40K - $146.90K/yr

Deep understanding of thermal systems, motion control, sensor integration, embedded control, and machine intelligence, and how these interact in a robotic product. * Experience with requirement ...

Cohu

Senior Systems Engineer

San Diego, CA

$107.40K - $146.90K/yr

Deep understanding of thermal systems, motion control, sensor integration, embedded control, and machine intelligence, and how these interact in a robotic product. * Experience with requirement ...

Meta

AI Research Engineer, FAIR Chemistry

San Francisco, CA · On-site

$121.99K - $181K/yr

Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence. In this specific role, you will develop and enhance ...

Pear

Chief of Staff - NomadicML

San Francisco, CA · On-site

Buried in that footage is the next frontier of machine intelligence. At NomadicML, we're building the platform that unlocks it. Our Vision-Language Models (VLMs) act as the new "hydraulic mining" for ...

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All JobsMachine Intelligence JobsMachine Intelligence Jobs in California

Machine Intelligence information

See California salary details

$21.1K

$104.8K

$171.9K

How much do machine intelligence jobs pay per year?

As of Jun 1, 2026, the average yearly pay for machine intelligence in California is $104,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,919.00 and $148,353.00 per year, depending on experience, location, and employer.

What is the difference between Machine Intelligence vs Data Scientist?

AspectMachine IntelligenceData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in machine learning or AIDegrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, AI startups; focus on developing algorithms and modelsBusiness environments, analytics firms; focus on data analysis, insights, and modeling
Employer & Industry UsageTech companies, AI research institutions, roboticsFinance, healthcare, marketing, tech industries

Machine Intelligence involves developing algorithms and systems that enable machines to perform tasks that typically require human intelligence. Data Scientists analyze and interpret complex data to inform decision-making. While both roles require knowledge of machine learning, Machine Intelligence focuses on creating intelligent systems, whereas Data Scientists focus on extracting insights from data.

What cities in California are hiring for Machine Intelligence jobs? Cities in California with the most Machine Intelligence job openings:
Machine Intelligence jobs near you
Postdoctoral Researcher, Fundamental AI Research (PhD)

Postdoctoral Researcher, Fundamental AI Research (PhD)

Meta

Menlo Park, CA • On-site

$122K - $181K/yr

Full-time

Posted 5 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 184 rated software companies

Job description

Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making fundamental progress in AI. Individuals in this role are expected to conduct cutting-edge research in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence.
Responsibilities
Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results
• Contribute to publications and open-sourcing efforts
• Work with a large team and play a significant role in healthy cross-functional collaboration
• Help identify long-term ambitious research goals as well as intermediate milestones
• Prioritize research that can be applied to Meta's product development
Minimum Qualifications
• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta
• Research background in machine learning, natural language processing, computer vision, computational statistics, applied mathematics, physics, or related areas
• Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research
• Experience solving analytical problems using analytic and quantitative approaches
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications
• First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar)
• Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment
• Experience solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward
• Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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