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Machine Learning Winter Internship Jobs in California

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Machine Learning Winter Internship information

What is a machine learning winter internship?

A Machine Learning Winter Internship is a short-term, practical training program typically offered during the winter months for students or early-career professionals interested in machine learning. Interns work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced mentors. The internship provides hands-on experience with tools and techniques used in the field, helping participants build technical skills and gain industry exposure. These positions are often offered by tech companies, research labs, or startups and can be either remote or onsite. Successful completion of a machine learning internship can enhance a candidate's resume and open up further career opportunities in artificial intelligence and data science.

What types of projects and tasks can I expect to work on during a machine learning winter internship?

During a Machine Learning Winter Internship, you can expect to work on hands-on projects such as data preprocessing, building and evaluating machine learning models, and assisting with research experiments. Interns often contribute to real-world applications, such as developing predictive analytics tools, optimizing algorithms, or supporting deployment efforts. Collaboration is common, as you'll work closely with data scientists, engineers, and sometimes product teams, giving you exposure to the full machine learning workflow. This environment provides an excellent opportunity to apply theoretical knowledge, gain practical experience, and build a professional network in the field.

What are the key skills and qualifications needed to thrive as a machine learning winter intern, and why are they important?

To thrive as a Machine Learning Winter Intern, you generally need a solid foundation in mathematics, programming (especially Python), and a basic understanding of machine learning concepts, often acquired through coursework or relevant projects. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries like Pandas and NumPy is typically required. Strong problem-solving abilities, collaboration, and curiosity help interns stand out in team-based, fast-paced environments. These skills are crucial for effectively contributing to real-world projects and quickly learning from experienced professionals during the internship.

What is the difference between Machine Learning Winter Internship vs Data Science Winter Internship?

AspectMachine Learning Winter InternshipData Science Winter Internship
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of ML frameworksUndergraduate or graduate in Statistics, Math, CS; familiarity with data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsData analysis, visualization, and interpretation in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, consulting

While both internships involve working with data, the Machine Learning Winter Internship emphasizes developing and applying ML algorithms, whereas the Data Science Winter Internship focuses on analyzing data, creating reports, and deriving insights. Candidates should choose based on their specific skills and career goals in AI or data analysis.

What are popular job titles related to Machine Learning Winter Internship jobs in California?

For Machine Learning Winter Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Machine Learning Winter Internship jobs in California look for?

The top searched job categories for Machine Learning Winter Internship jobs in California are:

What cities in California are hiring for Machine Learning Winter Internship jobs?

Cities in California with the most Machine Learning Winter Internship job openings:

Machine Learning Winter Internship jobs near you
Infographic showing various Machine Learning Winter Internship job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Winter 2027 Intern, Artificial Intelligence/Machine Learning

Mountain View, CA • On-site

Kodiak
Construction • 51 - 200 employees
Learn more about Kodiakexternal

Internship

Medical, Dental, Vision

Posted 5 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: January 2027
  • 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