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Machine Learning Software Engineer Intern Jobs in Carlsbad, CA

... 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 ...

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 ...

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 ...

Machine Learning Engineer- Gen AI

San Diego, CA · On-site

$142.30 - $214.30/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 ...

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 ...

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 ...

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100 ... data engineering, or machine learning; experience working with cloud-based and distributed ...

Showing results 41-60

Machine Learning Software Engineer Intern information

See Carlsbad, CA salary details

$13

$26

$40

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

As of Aug 7, 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 Engineer III

General Atomics

San Diego, CA • On-site

$116K - $208K/yr

Full-time

Posted 16 days ago


General Atomics rating

9.0

Company rating: 9.0 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

11th of 72 rated aerospace companies


Job description

Job Summary
General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.
Under general direction, this position is responsible for developing and programming integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments.
DUTIES & RESPONSIBILITIES
  • Develops and communicates complex descriptive, diagnostic, predictive and prescriptive insights/algorithms.
  • In product/systems improvement projects, uses complex machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
  • In both theoretical development environments and specific product design, implementation and improvement environments, uses complex programming language and technologies to translate algorithms and technical specifications into code.
  • Completes programming and implements efficiencies, performs testing and debugging.
  • Completes documentation and procedures for installation and maintenance.
  • Applies deep learning technologies to give computers the capability to visualize, learn and respond to a wide range of difficult situations.
  • Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
  • Maintains the strict confidentiality of sensitive information.
  • Performs other duties as assigned.
  • Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
Job Qualifications
  • Typically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education.
  • Must have a thorough understanding of machine learning concepts, principles, codes, and theory; experience demonstrating a broad application of those concepts; and, expanding knowledge of principles, concepts, theory, and practices in related technical specialties.
  • Must possess the ability to develop and communicate new concepts; apply them accurately throughout an evolving environment; organize, schedule, and coordinate work phases; and, determine the appropriate approach at the task level or, with assistance, at the project level to provide solutions to a range of complex problems.
  • Must have strong communication, computer, documentation, presentation, and interpersonal skills, ability to work independently and as part of a team; able to perform complex tasks in one or more engineering areas; capable of representing the organization as a prime technical contact and, lead a team of moderately experienced professional employees on single component projects. Able to work extended hours as required.

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About General Atomics

Sourced by ZipRecruiter

General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1955