ML Engineer Jobs in San Diego, CA
ML Engineer jobs in San Diego are concentrated in Sorrento Valley, UTC, and the Torrey Pines corridor, where defense tech, biotech, and autonomous systems companies run active ML teams year-round. Employers hiring right now include Qualcomm, Apple, and ASML. See the openings below and apply to the ones that match your experience.
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Showing 5 of 1,027+ ML Engineer jobs
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 1,027+ ML Engineer Jobs in San Diego
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Find ML Engineer JobsML Engineer Job Market in San Diego
Who's Hiring
- Qualcomm373
- Apple249
- ASML31
- Google31
- Intuit31
Top Industries Hiring
- Electronics & Hardware218
- Telecommunications124
- Technology & Software124
- Banking & Financial Services62
- Insurance31
ML Engineer Jobs in San Diego: Frequently Asked Questions
How do I get a ml engineer job in San Diego?
San Diego ml engineer hiring concentrates in defense and aerospace, biotech and life sciences, and autonomous vehicle software, with major clusters in Sorrento Valley, UTC, and the Miramar corridor. Candidates who have hands-on experience with computer vision, NLP, or reinforcement learning stand out in this market. Targeting mid-size defense contractors and biotech firms that run applied ML teams gives you the clearest path to a first offer here.
Which companies hire ml engineers in San Diego?
San Diego ml engineer roles are posted by Qualcomm, Apple, and ASML and others right now, based on current listings on Migrate Mate as of September 2026. The local market is shaped by a mix of defense primes, biotech research firms, and wireless technology companies, many of which maintain dedicated ML and data science teams in San Diego rather than relying on remote hires.
Are there remote ml engineer jobs in San Diego?
Yes, though availability depends heavily on the employer type. About 15% of ml engineer openings tied to San Diego are remote or hybrid as of September 2026, with the highest share in software-focused roles at tech and consumer product companies. Defense and government-contractor positions almost always require on-site presence due to security clearance requirements.
How can I get a ml engineer 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 research assistant role at one of the city's biotech or wireless tech companies, which often hire candidates with strong Python skills and a relevant graduate project portfolio. UC San Diego and community college research labs also place graduates into applied ML internships that convert to full-time offers. Building experience with PyTorch or TensorFlow on open datasets and contributing to a public GitHub repository meaningfully improves your competitiveness with San Diego hiring managers.
Which industries hire the most ml engineers in San Diego?
San Diego ml engineer roles concentrate in Electronics & Hardware, Telecommunications, and Technology & Software, based on current listings on Migrate Mate as of September 2026. San Diego's combination of major Navy and defense contracts, a large UCSD-affiliated biotech cluster, and Qualcomm's wireless research presence makes these sectors the primary and sustained drivers of local ML engineering demand.
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