Machine Learning Engineer Jobs in San Diego, CA
Machine Learning Engineer jobs in San Diego are concentrated in the Torrey Pines and Sorrento Valley corridors, as well as downtown and the UTC area, across defense tech, biotech, and enterprise software. Employers hiring right now include Qualcomm, Apple, and ASML. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 1,026+ Machine Learning 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 1,026+ Machine Learning Engineer Jobs in San Diego
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Find JobsMachine Learning 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
Machine Learning Engineer Jobs in San Diego: Frequently Asked Questions
How do I get a machine learning engineer job in San Diego?
San Diego's strongest hiring comes from defense contractors in Sorrento Valley, biotech firms along Torrey Pines Road, and enterprise software companies near UTC. Candidates who can apply ML to computer vision, signal processing, or genomics data have a clear edge here. Networking through UC San Diego research communities and San Diego AI meetups also helps, since many local roles fill through referrals before they reach public listings.
Which companies hire machine learning engineers in San Diego?
Employers hiring machine learning engineers in San Diego right now include Qualcomm, Apple, and ASML, based on current listings on Migrate Mate as of September 2026. San Diego's employer mix skews toward defense primes, mid-size biotech firms, and autonomous systems startups, alongside a growing set of enterprise software companies headquartered in the UTC and Carmel Valley areas.
Are there remote machine learning engineer jobs in San Diego?
Yes, though fully remote roles are more common for ML engineers focused on modeling and data pipelines than for those working with on-site hardware or lab environments. About 15% of machine learning engineer openings tied to San Diego are remote or hybrid as of September 2026, which reflects broader industry norms. Model development, data engineering, and MLOps roles tend to be the most remote-friendly in the local market.
How can I get a machine learning engineer job in San Diego with little or no experience?
The most realistic entry path in San Diego is through a research assistant or junior data scientist role at a UC San Diego-affiliated lab or a mid-size biotech, where applied ML work is common and mentorship is more accessible than at large defense primes. Entry-level ML platform or data engineering roles at local SaaS companies in Carmel Valley also provide a practical stepping stone. A strong GitHub portfolio with computer vision or NLP projects tailored to biotech or defense applications signals genuine readiness to San Diego hiring managers.
Which industries hire the most machine learning engineers in San Diego?
Most machine learning engineer openings in San Diego sit in Electronics & Hardware, Telecommunications, and Technology & Software, per current listings on Migrate Mate as of September 2026. San Diego's deep roots in defense research, life sciences, and wireless technology mean those sectors consistently drive local demand for engineers who can build and deploy production ML systems.
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