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Machine Learning Intern Jobs in Carlsbad, CA (NOW HIRING)

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a ... The Data Engineering Intern supports the development of scalable data systems and infrastructure ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a ... The Data Engineering Intern supports the development of scalable data systems and infrastructure ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a ... The Data Engineering Intern supports the development of scalable data systems and infrastructure ...

San Diego Community College District

Intern

San Diego, CA · On-site

$16 - $21.25/hr

Open Until Filled Yes Classification Title Intern Working Title Recruitment Limits Location District Wide Pay Information Click for the hourly pay rate. If you would like to open the link in a ...

Fellowship of Christian Athletes

Intern

San Diego, CA · On-site

$16 - $21.25/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

Argen Corporation

Argen Intern

San Diego, CA · On-site

$18.25/hr

Argen Intern Argen Corporation currently has an exciting opportunity for an Argen Intern to ... and learning, career development and advancement from only the best in the dental industry.

California State Senate

District Office Intern

Carlsbad, CA · On-site

$15.50 - $20.75/hr

... Intern will be responsible for general office duties including shadowing staff at community ... events, learning about the Senate certificates and constituent response processes, assists with ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Carlsbad, CA

Machine Learning Intern information

See Carlsbad, CA salary details

$26.5K

$44.2K

$91.3K

How much do machine learning intern jobs pay per year?

As of Jul 28, 2026, the average yearly pay for machine learning intern in Carlsbad, CA is $44,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,700.00 and $47,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What job categories do people searching Machine Learning Intern jobs in Carlsbad, CA look for? The top searched job categories for Machine Learning Intern jobs in Carlsbad, CA are:
What cities near Carlsbad, CA are hiring for Machine Learning Intern jobs? Cities near Carlsbad, CA with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Carlsbad, CA as of July 2026, with employment types broken down into 10% Internship, 1% As Needed, 51% Full Time, 33% Part Time, 2% Temporary, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $44,174 per year, or $21.2 per hour.
Machine Learning Engineer - Camera & Photos, Creative Foundations

Machine Learning Engineer - Camera & Photos, Creative Foundations

Apple

San Diego, CA • On-site

Full-time

Posted 4 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 675 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

We're looking for a Machine Learning Engineer and Researcher to join the Creative Foundations team within Camera & Photos. In this role, you won't just implement models - you'll invent them. You'll work at the intersection of cutting-edge ML research and the features that hundreds of millions of people use every day to capture, relive, and share their most meaningful moments.
This is a role for someone who gets excited about turning a theoretical breakthrough into a magical user experience. You'll bridge the gap between what's possible in research and what's shippable in product - translating state-of-the-art advances in image understanding into intelligent systems that feel intuitive and delightful. We're especially drawn to those with a passion for photography and experience with the visual and creative domains that make this work so meaningful.
Description
As a Machine Learning Engineer on the Creative Foundations team, you will pioneer novel approaches to image understanding - designing architectures, training strategies, and intelligent systems that push the boundaries of what our camera and photo experiences can do. You'll continuously survey state-of-the-art research, rapidly prototype high-potential ideas, and translate them into shippable features - while also leveraging model introspection and interpretability techniques to deeply understand why models behave the way they do and guide decisions accordingly. You'll collaborate across disciplines with product designers, software engineers, and aesthetic science researchers in an environment that values diverse perspectives, research rigor, and agility in an ever-evolving ML landscape.
Minimum Qualifications
MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Applied Mathematics, Statistics, or a related field - or equivalent practical experience demonstrating deep ML expertise.
Experience in machine learning, computer vision, or a related field (academic or industry), with a strong portfolio of building and shipping models or publishing research.
Deep understanding of modern ML architectures and techniques - including (but not limited to) transformers, diffusion models, contrastive learning, multi-modal models, and efficient neural network design and optimization.
Proficiency in ML frameworks such as PyTorch, and comfort working across the full model lifecycle from research exploration using large-scale data to production deployment.
Experience with image understanding tasks such as semantic segmentation, scene recognition, image captioning, visual question answering, image aesthetics, or image retrieval.
Strong fundamental software engineering background
Preferred Qualifications
A track record of creative problem-solving - taking an ambiguous challenge and finding an elegant, sometimes unconventional, ML-driven solution.
A genuine passion for pushing the boundaries of what's possible with machine learning and a deep curiosity for how intelligent systems can transform everyday experiences.
Published research at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH, etc.) is valued - but so is a strong portfolio of impactful shipped features or open-source contributions.
Comfort navigating ambiguity and working in a fast-moving R&D environment where the problem definition evolves alongside the solution.
A personal connection to photography or visual storytelling - whether through a creative practice, a deep appreciation for the craft, or simply an obsession with what makes a great image.
Specific computer vision experience in the areas of Semantic Image Understanding, Diffusion for Image Generation, Style Transfer, Computational Photography, Image Enhancement (Super-Resolution, Eenoising, etc.), Aesthetic Quality Assessment, Personalization (Few-Shot Adaptation)

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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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