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Machine Learning Engineer Software Engineer Jobs in San Diego, CA

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

The ideal candidate combines strong software engineering fundamentals with deep ML expertise , and ... Design and implement machine learning models and pipelines for production use * Build scalable ...

Icwgroup

Machine Learning Engineer

San Diego, CA · Hybrid

PURPOSE OF THE JOB The Machine Learning Engineer (MLE) selected for this role at ICW Group will ... Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD ...

General Atomics

Machine Learning Engineer III

Poway, CA · On-site

$116K - $208K/yr

May substitute equivalent machine learning engineer experience in lieu of education. * Must have an advanced understanding of machine learning concepts, principles, and theory. * Demonstrates the ...

General Atomics

Machine Learning Engineer IV

Poway, CA · On-site

$140K - $252K/yr

... and on-prem software platforms including Azure, AWS, and others as needed. DUTIES AND ... May substitute equivalent machine learning engineer experience in lieu of education. * Must ...

Apple Inc.

Machine Learning Engineer- GenAI

San Diego, CA · On-site

$150.40 - $277.60/hr

Minimum Qualifications * 3+ years experience in GenAI applications, machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large ...

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All JobsMachine Learning Engineer Software Engineer JobsMachine Learning Engineer Software Engineer Jobs in San Diego, CA

Machine Learning Engineer Software Engineer information

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$67.4K

$156.6K

$218.2K

How much do machine learning engineer software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer software engineer in San Diego, CA is $156,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $183,700.00 per year, depending on experience, location, and employer.

How do machine learning engineer software engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.

What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

What are popular job titles related to Machine Learning Engineer Software Engineer jobs in San Diego, CA?

For Machine Learning Engineer Software Engineer jobs in San Diego, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Software Engineer jobs in San Diego, CA look for?

The top searched job categories for Machine Learning Engineer Software Engineer jobs in San Diego, CA are:

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Cities near San Diego, CA with the most Machine Learning Engineer Software Engineer job openings:

Machine Learning Engineer Software Engineer jobs near you

Senior Engineer - Machine Learning

Qualcomm

San Diego, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 19 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 245 rated software companies

Job description

Company:
Qualcomm Incorporated
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning systems that power next-generation AI platforms and applications. This role focuses on model development, inference optimization, and scalable ML infrastructure, enabling production-grade AI capabilities across enterprise systems.
The ideal candidate combines strong software engineering fundamentals with deep ML expertise, and thrives in building robust, high-performance systems at scale.
Key Responsibilities
Core ML System Development
  • Design and implement machine learning models and pipelines for production use
  • Build scalable training → evaluation → deployment workflows
  • Develop reusable ML components, libraries, and frameworks

Inference & Performance Optimization
  • Optimize model inference for latency, throughput, and cost
  • Implement advanced techniques such as caching, quantization, batching, and routing
  • Benchmark and profile models across diverse workloads and hardware environments

Model Integration & Deployment
  • Integrate ML/LLM models into APIs, microservices, and applications
  • Build and maintain model-serving infrastructure (e.g., vLLM, ONNX, custom runtimes)
  • Collaborate with platform and infrastructure teams for scalable deployment

Data & Pipeline Engineering
  • Design data pipelines for ingestion, preprocessing, feature engineering, and validation
  • Improve data quality and model reliability through systematic evaluation

Cross-functional Collaboration
  • Partner with product, platform, and hardware teams to deliver end-to-end ML solutions
  • Participate in design reviews and contribute to system architecture decisions

Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
Preferred Qualifications
Strong programming skills in Python and at least one systems language (C++/Rust/Go)
Solid understanding of:
  • Machine learning fundamentals (supervised, unsupervised, deep learning)
  • Transformer architectures / LLMs
  • Model evaluation and debugging

Experience with:
  • ML frameworks (PyTorch, TensorFlow)
  • Model deployment and serving systems
  • Building scalable software and APIs

Experience with:
  • Large Language Models (LLMs), multimodal models, or generative AI
  • Retrieval systems and RAG pipelines
  • Distributed computing and GPU/accelerator environments including model serving and efficient cache/state management (e.g. KV cache, embeddings) across disaggregated systems
  • Kubernetes, Docker, and CI/CD pipelines
  • Agentic and multi-step AI workflows, tool integration, orchestration, and multi-component pipelines

Knowledge of:
  • Model optimization techniques (quantization, distillation, caching)
  • Vector databases and search systems (OpenSearch, Qdrant, etc.)
  • Cost-aware system design - model routing (small vs. large models), dynamic batching, and caching strategies

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.
Pay range and Other Compensation & Benefits:
$140,800.00 - $211,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. 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. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

What Qualcomm employees say

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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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