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Machine Learning Software Engineer Intern Jobs in Carlsbad, CA

General Atomics

Machine Learning Engineer II

Poway, CA · On-site

The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

General Atomics

Machine Learning Engineer II

Poway, CA · On-site

$98K - $171K/yr

The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

Qualcomm

M/L Compiler Engineer

San Diego, CA · On-site

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. Minimum Qualifications: • ...

Apple Inc.

Video Machine Learning Engineer

San Diego, CA · On-site

$139.50 - $258.10/hr

  • Medical

  • Dental

  • Retirement

San Diego, California, United States - Software and Services Imagine what you could do here! At ... Description As a Video Machine Learning Algorithm Engineer on our team, you will be at the ...

General Atomics

Machine Learning Engineer III

San Diego, CA · On-site

$116K - $208K/yr

... integrated software algorithms to structure, analyze and leverage data in product and systems ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have a ...

Precise Systems

Senior Software Engineer

San Diego, CA

$124K - $164K/yr

  • Medical

  • Life

  • Retirement

Collaborate with machine learning engineers and domain experts to analyze data and integrate ... engineer, software engineer, or system administrator. * Familiarity with containerization ...

Precise Systems

Senior Software Engineer

San Diego, CA · On-site

$130K - $171K/yr

  • Medical

  • Life

  • Retirement

Collaborate with machine learning engineers and domain experts to analyze data and integrate ... engineer, software engineer, or system administrator. * Familiarity with containerization ...

Icwgroup

Machine Learning Engineer

San Diego, CA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

ICW Group

Machine Learning Engineer

San Diego, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Apple Inc.

Machine Learning Engineer- Gen AI

San Diego, CA · On-site

$142.30 - $214.30/hr

  • Medical

  • Dental

  • Retirement

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 ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

As a Qualcomm Machine Learning Researcher, you will conduct fundamental research that creates ... Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Carlsbad, CA

Machine Learning Software Engineer Intern information

See Carlsbad, CA salary details

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How much do machine learning software engineer intern jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for machine learning software engineer intern in Carlsbad, CA is $26.37, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $29.90 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What cities near Carlsbad, CA are hiring for Machine Learning Software Engineer Intern jobs?

Cities near Carlsbad, CA with the most Machine Learning Software Engineer Intern job openings:

Machine Learning Software Engineer Intern jobs near you

Senior Engineer - Machine Learning

Qualcomm Technologies

San Diego, CA • On-site

$110K - $152K/yr

Other

This job post has expired today. Applications are no longer accepted.

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 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.

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