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Internship Machine Learning Engineer New Grad Jobs in Santa Clara, CA

Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... new methods to ship features on iOS and VisionOS platforms. In this role, you will work closely ...

They are seeking a Software Engineer (New Grad) to join their engineering team, where the candidate ... internship -- ideally in a high-growth startup or infrastructure environment • Strong coding ...

NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... You will perform applied research development to adapt state-of-the-art methods or implement new ...

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...

About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking New Grad Software Engineers who have a passion for technology and education to help us build ...

Software Engineer, New Grad

San Mateo, CA · On-site

$110K - $135K/yr

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking New Grad Software Engineers who have a passion for technology and education to help us build ...

Showing results 21-40

Internship Machine Learning Engineer New Grad information

See Santa Clara, CA salary details

$29.9K

$50K

$103.4K

How much do internship machine learning engineer new grad jobs pay per year?

As of Sep 4, 2026, the average yearly pay for internship machine learning engineer new grad in Santa Clara, CA is $50,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,200.00 and $54,000.00 per year, depending on experience, location, and employer.

What does an internship machine learning engineer new grad do?

An Internship Machine Learning Engineer New Grad typically works on developing, testing, and optimizing machine learning models under the guidance of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, and evaluating model performance. They may also collaborate with cross-functional teams to integrate models into production or contribute to research projects. This role provides hands-on experience with real-world data and the opportunity to learn industry-standard tools and practices.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer new grad?

To thrive as an Internship Machine Learning Engineer New Grad, you need a strong grasp of programming (especially Python), machine learning algorithms, data structures, and a relevant degree or coursework in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and a willingness to learn make you stand out in this position. These skills enable you to contribute effectively to projects, quickly adapt to new challenges, and support innovative solutions in a fast-evolving field.

What types of projects do machine learning engineer interns typically work on?

Machine Learning Engineer interns often work on hands-on projects such as data preprocessing, model development, and conducting experiments to validate algorithms under the guidance of senior engineers. These projects might include building prototypes, optimizing existing machine learning models, or supporting data collection and annotation efforts. Interns are expected to collaborate closely with data scientists, software engineers, and product teams to align their work with real business needs. This experience not only helps interns build technical skills but also provides insight into how machine learning solutions are integrated into larger products or services.

What is the difference between Internship Machine Learning Engineer New Grad vs Machine Learning Engineer?

AspectInternship Machine Learning Engineer New GradMachine Learning Engineer
Required CredentialsTypically pursuing or recently completed a Bachelor's or Master's in CS, Data Science, or related fieldsBachelor's or higher in CS, Data Science, or related fields; often requires some professional experience
Work EnvironmentTemporary, learning-focused internship, often part-time or summerFull-time professional role in a team, responsible for deploying ML models and projects
Employer & Industry UsageInternships offered by tech companies, startups, and research labs; industry-wideFull-time roles in tech, finance, healthcare, and other sectors utilizing ML

The main difference between an Internship Machine Learning Engineer New Grad and a Machine Learning Engineer is experience level and job responsibilities. Internships are temporary, learning-focused positions for recent graduates or students, while full-time Machine Learning Engineers handle ongoing projects, deployment, and optimization of ML models in a professional setting.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Santa Clara, CA?

The most popular types of Machine Learning Engineer New Grad jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Internship Machine Learning Engineer New Grad jobs?

Cities near Santa Clara, CA with the most Internship Machine Learning Engineer New Grad job openings:

Infographic showing various Internship Machine Learning Engineer New Grad job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $50,012 per year, or $24 per hour.

Machine Learning Engineer

Apple

Santa Clara, CA • On-site

Full-time

Re-posted 5 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 681 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Are you interested in enhancing the capabilities of Siri and Apple products to benefit our users? The Siri and Information Intelligence team is revolutionizing how hundreds of millions of people utilize their devices to access information. As an Applied ML team, we are pushing the boundaries to provide our users with the utmost optimal direct, secure, and privacy-preserving experiences, simultaneously delivering Apple-level design and aesthetics through generative AI techniques. Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking candidates with applied machine learning experience and strong software engineering skills.
Description
Leverage and enhance the latest advancements in machine learning and software engineering to effectively contribute to the successful delivery of generative experiences. Develop world-class evaluation techniques to ensure the accurate measurement and calibration of model responses. Collaborate with diverse teams, including infrastructure, quality, data, product, and design, to develop innovative features and contribute to the creation of an exceptional search experience for our end-users. Mentor aspiring applied scientists and engineers to broaden their horizons and amplify their impact. Contribute to the formation of a world-class team!
Minimum Qualifications
Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience
3+ years of industry related experience, working in collaborative environments
Experience with using: PyTorch, TensorFlow, or JAX for training and deploying deep learning models
Understanding product requirements then translating them into modeling tasks and engineering tasks
Proficient in at least two programming languages such as: C/C++, Go, Python, Java
Preferred Qualifications
Masters or PhD in the area of Computer Science or equivalent, or a related
Knowledge and prior experience with some deep learning and GenAI frameworks are desired.
Building machine-learned models for search relevance ranking query understanding and questioning
Prior experience in consumer facing product is desired

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