Machine Learning Intern Jobs in San Diego, CA
Machine Learning Intern jobs in San Diego are in strong demand, concentrated in Torrey Pines, Sorrento Valley, and the UTC corridor across defense tech, biotech, and software. Employers hiring right now include Qualcomm, Apple, and ASML. Find a role that fits below and apply directly.
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Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
This individual leads, plans, synthesizes ambiguous or conflicting requirements and performs the complex responsibility of the designing, implementing and verification of software, typically C or C++ or Python, to enable audio, camera, graphics, video, sensors, wireless and other functionality for various operating systems running on ARM processors and other embedded HW like DSP processors, or GPU processors that are embedded into mobile, edge, auto and IOT products. Responsibilities include integration, testing and performance optimization for embedded software subsystems, as well as the implementation of new tools. Other responsibilities include developing optimized software, such as ML kernels or tools like compilers, to make use of specific HW features; and/or working closely with HW teams for joint design/development. This individual may need to work with and/or optimize ML software frameworks like TensorFlow or PyTorch to efficiently run ML algorithms on HW. Coordinates dependencies with other teams, developing tools to improve the process, and assisting with the verification of the deliverables. Acts as a strong contributor at design reviews and project meetings and communicates and implements a development plan.
Will accept a Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field and three (3) years of experience in a related occupation.
Pay Range: $158,400.00 - $237,600.00/year
Applicants : 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).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
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.
If you would like more information about this role, please contact Qualcomm Careers .
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
This individual leads, plans, synthesizes ambiguous or conflicting requirements and performs the complex responsibility of the designing, implementing and verification of software, typically C or C++ or Python, to enable audio, camera, graphics, video, sensors, wireless and other functionality for various operating systems running on ARM processors and other embedded HW like DSP processors, or GPU processors that are embedded into mobile, edge, auto and IOT products. Responsibilities include integration, testing and performance optimization for embedded software subsystems, as well as the implementation of new tools. Other responsibilities include developing optimized software, such as ML kernels or tools like compilers, to make use of specific HW features; and/or working closely with HW teams for joint design/development. This individual may need to work with and/or optimize ML software frameworks like TensorFlow or PyTorch to efficiently run ML algorithms on HW. Coordinates dependencies with other teams, developing tools to improve the process, and assisting with the verification of the deliverables. Acts as a strong contributor at design reviews and project meetings and communicates and implements a development plan.
Will accept a Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field and three (3) years of experience in a related occupation.
Pay Range: $158,400.00 - $237,600.00/year
Applicants : 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).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
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.
If you would like more information about this role, please contact Qualcomm Careers .
See All 815+ Machine Learning Intern Jobs in San Diego
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Find Machine Learning Intern JobsMachine Learning Intern Job Market in San Diego
Who's Hiring
- Qualcomm362
- Apple151
- ASML30
- Google30
- Intuit30
Top Industries Hiring
- Electronics & Hardware211
- Telecommunications121
- Technology & Software121
- Science & Research30
- Media & Entertainment30
Machine Learning Intern Jobs in San Diego: Frequently Asked Questions
How do I get a machine learning intern job in San Diego?
Focus your search on San Diego's three strongest hiring corridors: the defense and aerospace contractors clustered in Kearny Mesa and Sorrento Valley, the biotech and genomics firms along the Torrey Pines mesa, and the software and cybersecurity companies near UTC. Candidates with hands-on Python and PyTorch experience, plus a portfolio project tied to computer vision, NLP, or predictive modeling, stand out in San Diego's technically demanding market.
Which companies hire machine learning interns in San Diego?
San Diego machine learning intern roles are posted by Qualcomm, Apple, and ASML and others right now, based on current listings on Migrate Mate as of September 2026. San Diego's intern-hiring landscape is shaped by a mix of large defense primes, mid-size biotech firms, and early-stage deep-tech startups, many with university research ties to UC San Diego.
Are there remote machine learning intern jobs in San Diego?
Yes, though availability depends heavily on the role type. About 8% of machine learning intern openings tied to San Diego are remote or hybrid as of September 2026, skewing toward software and data-focused positions. Defense and biotech roles tied to San Diego labs and clearance requirements are almost always on-site, while pure software and analytics internships offer the most remote flexibility.
How can I get a machine learning intern job in San Diego with little or no experience?
The most realistic entry path in San Diego is through UC San Diego's research labs, Jacobs School of Engineering partnerships, or community college transfer pipelines that feed directly into local tech and biotech hiring. Entry-level candidates do well targeting data analyst or research assistant roles at mid-size biotech firms in the Torrey Pines area, then moving into ML-specific work after demonstrating data pipeline or modeling skills on the job.
Which industries hire the most machine learning interns in San Diego?
San Diego machine learning intern roles concentrate in Electronics & Hardware, Telecommunications, and Technology & Software, based on current listings on Migrate Mate as of September 2026. San Diego's unique mix of defense contractors, life sciences companies, and wireless technology firms, anchored by decades of DARPA and NIH-funded research, drives consistent intern demand across all three sectors.
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