We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid ...
... intern and new grad hiring needs. * Work from the San Francisco office 3x per week. You have: * 4+ ... SWE & ML recruiting experience at all levels including, Bachelors, Masters and PhDs. * Experience ...
... intern and new grad hiring needs. * Work from the San Francisco office 3x per week. You have: * 4+ ... SWE & ML recruiting experience at all levels including, Bachelors, Masters and PhDs. * Experience ...
2026 PhD Residency - ML / SWE, Orchestration of Agentic Systems, Early Stage Project
Mountain View, CA · On-site
$109K - $157K/yr
Engage with the intern community during the program (attending tech talks, colloquium, and learning moonshot thinking), and most importantly HAVE FUN! This project aims to push the limits of science ...
2026 PhD Residency - ML / SWE, Orchestration of Agentic Systems, Early Stage Project
Mountain View, CA · On-site
$109K - $157K/yr
Engage with the intern community during the program (attending tech talks, colloquium, and learning moonshot thinking), and most importantly HAVE FUN! This project aims to push the limits of science ...
Swe Intern information
See salary details
$8.89 - $10.29
3% of jobs
$10.29 - $11.69
3% of jobs
$11.69 - $13.09
3% of jobs
$13.09 - $14.49
9% of jobs
$14.94 is the 25th percentile. Wages below this are outliers.
$14.49 - $15.89
21% of jobs
The median wage is $16.47 / hr.
$15.89 - $17.29
26% of jobs
$18.39 is the 75th percentile. Wages above this are outliers.
$17.29 - $18.68
13% of jobs
$18.68 - $20.08
12% of jobs
$20.08 - $21.48
4% of jobs
$21.48 - $22.88
3% of jobs
$22.88 - $24.28
3% of jobs
$8
$17
$24
How much do swe intern jobs pay per hour?
As of Jul 22, 2026, the average hourly pay for swe intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.
What types of projects and tasks can a SWE Intern expect to work on during their internship?
As a SWE Intern, you'll typically be assigned to real engineering teams and work on meaningful projects that contribute to the company's products or services. This often includes writing and testing code, debugging software, participating in code reviews, and collaborating with other engineers through agile development processes. You may also be involved in designing features, improving system performance, or automating tests. Interns are encouraged to ask questions and seek mentorship, as the environment is designed to help you learn quickly while making a tangible impact.
Is 23 dollars an hour good for an internship?
For a software engineering internship, earning $23 an hour is above the federal minimum wage and is considered competitive in many regions. Interns often earn between minimum wage and $25 per hour, depending on location, company size, and required skills such as programming or data analysis. Factors like workload, learning opportunities, and industry standards should also be considered when evaluating pay.
Can you make $500,000 as a software engineer?
Software engineers can earn $500,000 or more annually, primarily through senior roles, specialized skills, or working at large tech companies with stock options and bonuses. Achieving this level typically requires extensive experience, advanced technical skills, and often leadership responsibilities or equity compensation.
What is an swe intern?
An SWE intern is a software engineering intern who works temporarily within a company's software development team. They typically assist with coding, testing, and debugging tasks using programming languages like Java, Python, or C++, gaining practical experience in software development processes. Internships usually last several months and may require some prior knowledge of computer science fundamentals and tools like version control systems.
Is 22 too old for an internship?
A Software Engineering Intern position is typically open to candidates of various ages, including those who are 22 or older. Age is generally not a barrier, and many internships value skills, relevant coursework, or prior experience over age. Employers often seek motivated individuals eager to learn and develop technical skills such as coding, debugging, and teamwork.
What is a SWE Intern?
A SWE Intern, or Software Engineering Intern, is a student or recent graduate who works temporarily at a company to gain practical experience in software development. SWE Interns typically assist with coding, debugging, testing, and collaborating on software projects under the supervision of experienced engineers. This internship provides valuable hands-on learning, exposure to professional tools and processes, and often serves as a pathway to a full-time software engineering role after graduation.
What is the difference between Swe Intern vs Software Engineer?
| Aspect | Swe Intern | Software Engineer |
|---|---|---|
| Required Credentials | Typically pursuing or recently completed a bachelor's or master's degree in CS or related field | Bachelor's degree or higher in CS or related field, with relevant experience |
| Work Environment | Internship programs, often temporary, in tech companies or startups | Full-time employment, responsible for designing, developing, and maintaining software |
| Employer & Industry Usage | Used in tech companies, startups, and corporate R&D teams for entry-level roles | Full-time role across industries including tech, finance, healthcare, and more |
The main difference between a Swe Intern and a Software Engineer is experience level and employment status. Interns are usually students gaining practical experience, while Software Engineers are full-time professionals responsible for software development and maintenance.
What are the key skills and qualifications needed to thrive as a SWE Intern, and why are they important?
To thrive as a SWE Intern, you typically need a solid understanding of computer science fundamentals, programming languages like Python, Java, or C++, and enrollment in or completion of a relevant degree program. Familiarity with version control systems (e.g., Git), software development environments, and debugging tools is expected. Strong problem-solving abilities, teamwork, communication skills, and a willingness to learn set standout candidates apart. These skills and qualities are vital to contribute effectively to software projects, collaborate with engineering teams, and adapt quickly in a fast-paced tech environment.
More about Swe Intern jobs
What cities are hiring for Swe Intern jobs? Cities with the most Swe Intern job openings:
What are the most commonly searched types of Swe jobs? The most popular types of Swe jobs are:
What states have the most Swe Intern jobs? States with the most job openings for Swe Intern jobs include:
![Machine Learning Researcher, Foundation Models [SWE Org]](https://www.ziprecruiter.com/svc/fotomat/public-nosensitive-ziprecruiter-logos/company/d890ba8d.png){kind=small}
Full-time
Re-posted 8 days ago
Job description
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.
Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning.
Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas improve the experience of billions of users.
Minimum Qualifications
Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, ACL) or a track record in applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment.
Code large language models.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Preferred Qualifications
Reinforcement learning, on-policy distillation.
Post-training, mid-training large language models.
LLM context lengthening.
Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning.
Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas improve the experience of billions of users.
Minimum Qualifications
Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, ACL) or a track record in applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment.
Code large language models.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Preferred Qualifications
Reinforcement learning, on-policy distillation.
Post-training, mid-training large language models.
LLM context lengthening.
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