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Internship Machine Learning R Jobs in California

Advantest

Machine Learning Engineer

San Jose, CA · On-site

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of ... Hands-on experience with ML modeling via coursework, internships, or independent projects.

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What is the difference between Internship Machine Learning R vs Data Analyst Intern?

AspectInternship Machine Learning RData Analyst Intern
Required SkillsProficiency in R, basic machine learning concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
Work EnvironmentResearch labs, tech companies, startups focusing on AI/ML projectsBusiness environments, consulting firms, marketing agencies
Industry UsagePrimarily in tech, AI, and data science sectorsAcross various industries including finance, marketing, and healthcare

Internship Machine Learning R focuses on applying R programming to develop machine learning models, often in tech and AI sectors. In contrast, Data Analyst Internships emphasize data visualization, statistical analysis, and reporting across diverse industries. Both roles require data handling skills but differ in their focus on machine learning versus data interpretation.

What are the most commonly searched types of Machine Learning R jobs in California? The most popular types of Machine Learning R jobs in California are:
What cities in California are hiring for Internship Machine Learning R jobs? Cities in California with the most Internship Machine Learning R job openings:
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Fall 2026 Intern, Artificial Intelligence/Machine Learning

Fall 2026 Intern, Artificial Intelligence/Machine Learning

Kodiak

Mountain View, CA

Other

Medical, Dental, Vision

Posted 25 days ago

Job description

We are looking for a highly skilled AI/ML Intern with a solid grasp of Computer Vision and Foundation Models, to tackle real-world challenges in robotics. The perfect candidate for our team is someone who embodies a proactive, can-do mindset, tackling tasks with enthusiasm and persistence. We expect our interns to not only excel in their field but also to rapidly adapt and thrive in our fast-paced, innovative environment. This role is ideal for individuals eager to demonstrate their expertise and eager to grow in a cutting-edge technological setting.

In this role, you will:

  • Design and implement state-of-the-art machine learning algorithms using robust, efficient Python code, ensuring high-quality evaluations and reliability.
  • Lead the development of innovative deep neural networks to address key robotics problems, such as end-to-end learning, 3d scene understanding, 3D object detection, 3D world reconstruction, and self-supervised learning.
  • Work with various sensor technologies like cameras, lidars, and radars to create and refine machine learning datasets, enhancing performance with growing data.
  • Develop and manage automated AI flywheel, ensuring seamless integration and efficiency in the machine learning process.
  • Work within Kodiak's advanced software ecosystem, pushing the frontiers of existing autonomous systems through continuous innovation and development.

What you'll bring:

  • Strong technical background. You are currently pursuing an MS or Ph.D. and have hands-on experience in designing and implementing deep neural networks; exceptional candidates pursuing a BS are considered. 
  • You are a skilled engineer with experience in applied AI research, Python programming, and strong problem-solving skills.
  • You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before.
  • A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
  • Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
  • Hands-on. You are not only passionate about ML research but also experienced working with production machine learning pipelines, from dataset curation to training and validation.
  • Great communicator. You have experience writing clear, concise, and detailed design documents. You can enable your colleagues to leverage the ML models resulting from your work in their algorithms and systems.

Internship Program Details:

  • Start Date: September 2026.
  • Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
  • Location: Mountain View, CA.
  • Housing: interns are responsible for housing.

What we offer:

  • A fast paced environment where we work with talented, committed and supportive teammates.
  • Competitive pay.
  • Excellent medical, dental and vision benefits.  A beautiful facility in Mountain View.
  • We love our dogs, so we are a dog friendly office!
  • Free catered lunch.

Apply