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Internship Machine Learning Jobs in Santee, CA (NOW HIRING)

Qualcomm

System Performance Modeling Engineer

San Diego, CA · On-site

$106K - $145K/yr

... strong internships & motivation. * Understanding of interconnect protocols like AHB/AXI/ACE/ACE-Lite and NoC concepts and topologies. * Experience in Data Science, Machine Learning. Preferred ...

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All JobsMachine Learning JobsInternship Machine Learning JobsInternship Machine Learning Jobs in Santee, CA

Internship Machine Learning information

See Santee, CA salary details

$25.8K

$43.2K

$89.2K

How much do internship machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for internship machine learning in Santee, CA is $43,167.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,600.00 per year, depending on experience, location, and employer.

What is an internship machine learning?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

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

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.

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

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

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

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What job categories do people searching Internship Machine Learning jobs in Santee, CA look for?

The top searched job categories for Internship Machine Learning jobs in Santee, CA are:

What cities near Santee, CA are hiring for Internship Machine Learning jobs?

Cities near Santee, CA with the most Internship Machine Learning job openings:

Internship Machine Learning jobs near you
Infographic showing various Internship Machine Learning job openings in Santee, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,167 per year, or $20.8 per hour.

Staff Software Engineer, AI Software Platform (Onsite)

Qualcomm

San Diego, CA • On-site

$158 - $238/hr

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As an AI Software Core Software Engineer, you will develop and implement cutting‑edge machine learning techniques that enable the efficient utilization of state‑of‑the‑art solutions across various technology verticals.

In this role, you will be responsible for developing tools and supporting AI SW platform for the Qualcomm AI Stack spanning the Qualcomm AI Runtime (QAIRT) SDK, specifically Core software including Generative AI Inference Extensions (Genie) and the corresponding HW ML accelerator back‑end support on the SoC. You will be responsible for researching state‑of‑the‑art AI toolchains, performance / memory and HW (CPU/NPU/eNPU) profiling for Edge‑AI use cases on the embedded SoC.

You will have the opportunity to demonstrate your passion for software tools (developed in house and/or bring in off‑the‑shelf AI tools), support AI SW ecosystem across development and test and customer support. You will be leading software toolchains and system level performance / memory profiling across a wide variety of OSes and platforms, provide guidance to junior team members, and make decisions impacting your direct area and the broader work group. You will collaborate with cross‑functional teams to deliver robust, scalable AI software solutions, and contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.

Minimum Qualifications:
  • • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • OR
  • • Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • OR
  • • PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Responsibilities
  • * Responsible for leading and developing in‑house software tools or research off‑the‑shelf 3rd party toolchains, compilers required for the Qualcomm AI Stack SDKs, specifically QAIRT and Genie, to support the execution of the latest generative AI models on Snapdragon platforms for various AI use cases across a wide‑variety of SoCs and OS platforms (Android, Linux, QNX, Windows, Zephyr, etc.)
  • * Lead / coordinate efforts for System level performance and memory profiling/benchmarking required to support high performance and efficient AI SW stack on SoCs supporting Edge‑AI use cases using Qualcomm’s AI SW SDK and associated components/toolchains
  • * Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases.
  • * Debug complex issues, perform root cause analysis, and ensure high system reliability.
  • * Collaborate with cross‑functional teams to deliver robust, scalable toolchains
  • * Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.
  • * Work independently with minimal supervision; Staff Engineers provide guidance to junior team members and make decisions impacting their area and the broader work group.
Preferred Qualifications
  • * Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
  • * 1+ years of experience building embedded software applications.
  • * Proficiency in software tools development using C/C++/Python, compiler toolchains (LLVM, GNU) and build systems (Make/CMake)
  • * Projects or Internships experience (Entry level) / 2+ years (Senior) of general software development experience.
  • * Experience with development in different OS/platforms like Android, Linux, Windows
  • * Knowledge of low‑level interactions between operating systems (e.g., Linux, Android, Windows, QNX, etc.) and hardware.
  • * Experience using/integrating Qualcomm AI Stack products (e.g., QNN, Genie).
  • * Experience with agile software development practices and git‑based SCM.
  • * Ability to collaborate across a globally diverse team and manage multiple interests.
  • * Excellent communication skills (verbal, presentation, and writing).

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$158,400.00 - $237,600.00

  • We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus).
  • In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.
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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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