ZipRecruiter

Log In

1

Internship Applied Intelligence Jobs in California

Samaya AI

Applied Scientist (ML)

Mountain View, CA · Hybrid

$190K - $275K/yr

... expert intelligence. Agents: You will enable expert-level agentic workflows to automate ... ML interns and publish your research findings with the community Experience Required * PhD or ...

Samaya AI

Applied Scientist (ML)

Mountain View, CA · On-site

$190K - $275K/yr

... expert intelligence. Agents: You will enable expert-level agentic workflows to automate ... ML interns and publish your research findings with the community Experience Required * PhD or ...

previous pagenext page

Showing results 21-40

All JobsApplied Intelligence JobsInternship Applied Intelligence JobsInternship Applied Intelligence Jobs in California

Internship Applied Intelligence information

What is the difference between Internship Applied Intelligence vs Data Analyst Intern?

AspectInternship Applied IntelligenceData Analyst Intern
Required CredentialsRelevant coursework, basic programming skillsStatistics, data analysis, programming knowledge
Work EnvironmentTech companies, AI-focused teamsBusiness, finance, tech sectors
Employer & Industry UsageAI and machine learning firms, tech giantsCorporations, consulting firms, startups
Common Search & Comparison IntentUnderstanding roles in AI internshipsExploring data analysis internship opportunities

Internship Applied Intelligence focuses on AI and machine learning projects, requiring knowledge of programming and AI concepts. In contrast, Data Analyst Internships emphasize data interpretation, statistical analysis, and business insights. Both roles are valuable entry points in tech and data-driven industries, but they target different skill sets and industry applications.

What types of projects can I expect to work on as an Applied Intelligence intern, and how will I collaborate with other team members?

As an Applied Intelligence intern, you will typically work on data-driven projects such as developing predictive models, analyzing large datasets, or supporting the implementation of AI solutions for real-world business challenges. You’ll often collaborate with data scientists, engineers, and business analysts, participating in brainstorming sessions, stand-up meetings, and code reviews. Interns are encouraged to contribute their ideas and may also assist in preparing presentations or reports for stakeholders. This collaborative and fast-paced environment offers valuable exposure to both technical tasks and strategic problem-solving.

What is an internship in Applied Intelligence?

An Internship in Applied Intelligence is a temporary position for students or recent graduates to gain hands-on experience working with data analytics, artificial intelligence, and machine learning technologies. Interns typically assist in analyzing large datasets, developing AI models, and supporting business decision-making through data-driven insights. This role allows individuals to apply theoretical knowledge in real-world scenarios while working under the guidance of experienced professionals. Such internships are valuable for building practical skills and preparing for a career in data science or AI-related fields.

What are the key skills and qualifications needed to thrive as an internship in Applied Intelligence, and why are they important?

To thrive in an Internship Applied Intelligence role, you typically need strong analytical thinking, problem-solving abilities, and a background in data science, statistics, or computer science, often supported by ongoing or completed relevant education. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is commonly required. Strong communication, teamwork, and adaptability help interns effectively present insights and collaborate with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful patterns from complex data and contributing valuable recommendations to business decisions.
What are the most commonly searched types of Applied Intelligence jobs in California? The most popular types of Applied Intelligence jobs in California are:
Internship Applied Intelligence jobs near you

Research Scientist (Research)

Applied Intuition

Sunnyvale, CA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to moving machines. The Research Scientist role involves conducting cutting-edge research in reinforcement learning and collaborating with teams to deploy algorithms in autonomous and robotic systems.
Responsibilities:
• Conduct research on reinforcement learning (RL) related topics including large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications to autonomous driving
• Diving into fundamental topics on RL with broader applications and potential imitative behavior learning incorporation, and relevant topics such as reward learning
• Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences
• Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and robotics products
Qualifications:
Required:
• Strong research record in the fields of RL and VLA post-training for autonomous systems and robotics, with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Strong research skills and the ability to work both independently and collaboratively on projects
• Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
Preferred:
• Hands-on experience in at least one of the following fields: Self-play RL and imitation learning, behavior learning
• VLA post-training for autonomy or robotics
• Large-scale closed-loop RL in driving simulation
• Large-scale RL training infrastructure (Ray preferred)
Company:
Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles
 at scale. Founded in 2017, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply