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Summer Artificial Intelligence Machine Learning Jobs in California

Apple, Inc.

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$142K - $188K/yr

Minimum Qualifications Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience 6+ years of ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Minimum Qualifications Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience 6+ years of ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Required : • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. • 3+ years of experience in applied machine learning or ML engineering ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Required : • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. • 3+ years of experience in applied machine learning or ML engineering ...

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All JobsSummer Artificial Intelligence Machine Learning JobsSummer Artificial Intelligence Machine Learning Jobs in California

Summer Artificial Intelligence Machine Learning information

What is a Summer Artificial Intelligence Machine Learning?

A Summer Artificial Intelligence (AI) Machine Learning (ML) job is a temporary internship or position, typically offered to students or recent graduates during the summer months, that focuses on working with AI and ML technologies. In these roles, participants gain hands-on experience by collaborating on projects involving data analysis, developing machine learning models, and implementing AI algorithms. These positions are designed to help individuals build practical skills, expand their technical knowledge, and explore potential career paths in the rapidly growing field of AI and ML.

What types of projects can I expect to work on during a Summer Artificial Intelligence Machine Learning internship?

As a Summer Artificial Intelligence Machine Learning intern, you can expect to contribute to projects involving data preprocessing, model training, and evaluation under the guidance of experienced mentors. Typical tasks may include developing and testing new algorithms, analyzing large datasets, and supporting the deployment of machine learning models. You'll often collaborate closely with data scientists, software engineers, and other interns, gaining exposure to real-world AI challenges and industry-standard tools. This hands-on experience not only builds technical skills but also improves teamwork and communication abilities, laying a strong foundation for a future career in AI and ML.

What are the key skills and qualifications needed to thrive as a Summer Artificial Intelligence Machine Learning intern, and why are they important?

To thrive as a Summer Artificial Intelligence Machine Learning intern, you need a solid background in mathematics, statistics, and programming (often Python), typically supported by coursework or projects in machine learning or data science. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is commonly expected. Strong problem-solving skills, curiosity, and the ability to collaborate effectively within diverse teams are valuable soft skills for this role. These competencies are crucial for successfully developing, implementing, and refining AI models in a fast-paced, innovation-driven environment.

What is the difference between Summer Artificial Intelligence Machine Learning vs Summer Data Science?

AspectSummer Artificial Intelligence Machine LearningSummer Data Science
Required CredentialsBachelor's or Master's in CS, AI, ML, or related fieldsBachelor's or Master's in CS, Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, startupsData analysis teams, consulting firms, tech companies
Industry UsageDeveloping AI models, ML algorithms, automationData analysis, visualization, business insights
Common Search/ComparisonYesYes

Summer Artificial Intelligence Machine Learning focuses on developing AI systems and algorithms, often involving programming and model training. Summer Data Science emphasizes analyzing and interpreting data to generate insights. While both roles require strong technical skills and similar educational backgrounds, AI/ML roles are more research and development-oriented, whereas Data Science roles focus on data analysis and visualization.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in California?

The most popular types of Artificial Intelligence Machine Learning jobs in California are:

What are popular job titles related to Summer Artificial Intelligence Machine Learning jobs in California?

For Summer Artificial Intelligence Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Summer Artificial Intelligence Machine Learning jobs in California look for?

The top searched job categories for Summer Artificial Intelligence Machine Learning jobs in California are:

Summer Artificial Intelligence Machine Learning jobs near you

Machine Learning Research Engineer, SIML - ISE

Apple, Inc.

Cupertino, CA • On-site

Other

Re-posted 9 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Join the team building the next generation of Apple Intelligence! The System Intelligence Machine Learning (SIML) organization is looking for a Machine Learning Research Engineer in the domain of multi-modal perception and reasoning. This is an opportunity to work at the core of Apple Intelligence, working across modalities such as vision, language, gesture, gaze, touch, etc. to enable highly intuitive and personalized intelligence experiences across the Apple ecosystem.
This role requires experience in vision-language models, and ability to fine-tune/adapt/distill multi-modal LLMs. You will be part of a fast-paced, impact-driven Applied Research organization working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms, including Apple Intelligence, Camera, Photos, Visual Intelligence, and more!
Description
As a Machine Learning Research Engineer, you will help design and develop models and algorithms for multimodal perception and reasoning leveraging Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs). You will collaborate with experienced researchers and engineers to explore new techniques, evaluate performance, and translate product needs into impactful ML solutions. Your work will contribute directly to user-facing features across billions of devices.
Your primary responsibilities include:
- Contribute to the development and adaptation of AI/ML models for multimodal perception and reasoning
- Innovate robust algorithms that integrate visual and language data for comprehensive understanding
- Collaborate closely with cross-functional teams to translate product requirements into effective ML solutions.
- Conduct hands-on experimentation, model training, and performance analysis
- Communicate research outcomes effectively to technical and non-technical stakeholders, providing actionable insights.
- Stay current with emerging methods in VLMs, MLLMs, and related areas
Minimum Qualifications
Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field - or relevant industry experience
Proficiency in Python and deep learning frameworks such as PyTorch, or equivalent
Practical experience with training and evaluating neural networks
Familiarity with multimodal learning, vision-language models, or large language models
Strong problem-solving skills and ability to work in a collaborative, product-focused environment
Ability to communicate technical results clearly and concisely
Preferred Qualifications
Proven track record of research contributions demonstrated through publications in top-tier conferences and journals.
Background in multi-modal reasoning, VLM, and MLLM research with impactful software projects.
Solid understanding of natural language processing (NLP) and computer vision fundamentals.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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