Machine Learning Jobs in San Diego, CA
Machine Learning jobs in San Diego concentrate in Sorrento Valley, UTC, and Torrey Pines across defense technology, biotech, and enterprise software, with strong demand from both established contractors and fast-growing startups. 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 1,114+ Machine Learning Jobs in San Diego
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Find Machine Learning JobsMachine Learning Job Market in San Diego
Who's Hiring
- Qualcomm414
- Apple255
- ASML32
- Jobot32
- Google32
Top Industries Hiring
- Electronics & Hardware255
- Telecommunications159
- Technology & Software159
- Banking & Financial Services64
- Insurance32
Machine Learning Jobs in San Diego: Frequently Asked Questions
How do I get a machine learning job in San Diego?
Focus on San Diego's three deepest hiring pockets: defense and government contractors in Sorrento Valley, biotech and genomics companies in Torrey Pines and La Jolla, and enterprise software firms near UTC. Candidates who can show applied work in computer vision, natural language processing, or predictive modeling get the most traction locally. A portfolio with deployed models and familiarity with cloud ML pipelines gives you a clear edge over candidates with theory alone.
Which companies hire machine learnings in San Diego?
Employers hiring machine learnings in San Diego right now include Qualcomm, Apple, and ASML, based on current listings on Migrate Mate as of September 2026. The local market includes a mix of large defense primes, publicly traded biotech firms, and venture-backed AI startups, most clustered along the I-805 and I-5 corridors in northern San Diego.
Are there remote machine learning jobs in San Diego?
Yes, though it depends on the role. Analytical and research-heavy machine learning work is commonly remote, while positions tied to proprietary hardware, classified defense systems, or lab environments require on-site presence. About 20% of machine learning openings tied to San Diego are remote or hybrid as of September 2026. Roles at software and fintech companies tend to be the most flexible, while defense contractor positions are almost always on-site.
How can I get a machine learning job in San Diego with little or no experience?
The most realistic entry path in San Diego is through a junior data scientist or ML engineer role at one of the city's mid-size biotech or software companies, which hire more entry-level talent than the large defense contractors. UC San Diego's extension programs and Scripps Research affiliates run internships that lead to full-time offers. Building a public GitHub portfolio with end-to-end projects, then targeting companies in Sorrento Mesa and Kearny Mesa, is the approach that moves candidates from no experience to first role fastest locally.
Which industries hire the most machine learnings in San Diego?
San Diego machine learning roles concentrate in Electronics & Hardware, Telecommunications, and Technology & Software, based on current listings on Migrate Mate as of September 2026. San Diego's deep roots in defense contracting, genomics research, and wireless technology mean these sectors consistently generate more ML openings than in most comparable metro areas.
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