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Machine Learning Software Engineer Intern Jobs in Carlsbad, CA

In this role, the intern will work with large-scale sensor datasets, cloud-based technologies, and modern data pipelines, while collaborating closely with software and machine learning engineers to ...

Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, andbusiness ... Experience with machine learning libraries such as scikit-learn, HuggingFace,TensorFlow/Keras ...

In this role, the intern will work with large-scale sensor datasets, cloud-based technologies, and modern data pipelines, while collaborating closely with software and machine learning engineers to ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

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 ...

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 ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

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 ...

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: • ...

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 ...

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 ...

... 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 ...

Showing results 21-40

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:

Data Engineering Intern

Qeexo, Co.

San Clemente, CA

$25/hr

Other

Re-posted 27 days ago


Job description

TDK SensEI is transforming how sensor data is collected, processed, and leveraged powering intelligent, data-driven decision-making across

industrial environments. As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a global leader in sensor technology, SensEI operates at the forefront of industrial AI and analytics.

 The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based

equipment monitoring platform. In this role, the intern will work with large-scale sensor datasets, cloud-based technologies, and modern data

pipelines, while collaborating closely with software and machine learning engineers to enable advanced analytics and AI applications.

This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative environment.

KEY RESPONSIBILITIES

Build, maintain, and optimize ETL/ELT pipelines for processing sensor and operational data

Develop data workflows and automation using Python, SQL, and AWS services 

Support data ingestion, transformation, validation, and monitoring processes 

Work with structured and semi-structured data from cloud and edge-based systems 

Collaborate with software and ML engineers to prepare datasets for analytics and machine learning models 

Assist with integration and optimization of OLTP and OLAP systems 

Troubleshoot pipeline issues and contribute to improvements in data reliability and performance

ADDITIONAL RESPONSIBILITIES

Create and maintain documentation, including data flows, system diagrams, and technical specifications 

Participate in code reviews and adhere to engineering best practices 

Support initiatives to improve data quality, observability, and operational efficiency 

Contribute to continuous improvement of data infrastructure and workflows

 

Other Duties:

Perform other related duties and ad hoc projects as assigned to support departmental and organizational goals.

Workplace Safety: Maintain awareness of and follow all workplace safety guidelines and promote a culture of well-being.

Quality and Compliance: Ensure work is performed in accordance with established quality control and assurance processes. 

Ethics and Integrity: Adhere to the company's Values and Code of Conduct and uphold the highest standards of honesty, integrity, and ethical behavior in all business activities.

QUALIFICATIONS

Education/Experience: 

 Currently pursuing a Bachelor's or Master's degree in: 

Computer Science

Data Engineering

Information Systems

or a related technical field

Hands-on experience with Python and SQL 

Exposure to data pipelines, ETL/ELT processes, or data warehousing concepts 

Familiarity with relational and/or analytical databases (e.g., PostgreSQL, MySQL, Redshift) 

Exposure to cloud platforms, preferably AWS 

 Knowledge/Skills/Abilities

Strong foundation in Python programming and SQL/database fundamentals 

Basic understanding of data engineering concepts, including pipelines, transformation, and storage 

Familiarity with cloud computing and distributed systems 

Analytical mindset with strong problem-solving capabilities 

Ability to quickly learn new tools, technologies, and frameworks 

Strong attention to detail and commitment to data accuracy and quality 

Effective communication skills, both written and verbal 

Ability to collaborate in cross-functional team environments

Preferred / Bonus Qualifications

  Experience with workflow orchestration tools (e.g., Apache Airflow)

Familiarity with AWS services such as S3, Lambda, Glue, or Redshift

Exposure to Docker, Linux, or shell scripting

Understanding of OLTP vs. OLAP systems

Experience with data lakes, data warehousing, or analytics platforms

Interest in machine learning and data-driven systems

Experience with Git or version control systems


Qeexo logo

About Qeexo

Sourced by ZipRecruiter

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012