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Internship Full Stack Machine Learning Engineer Jobs in California

Trabus Technologies

Full Stack Engineer

San Diego, CA · On-site

$92K - $185K/yr

TRABUS works directly with end-users to build machine learning and full stack solutions from the ... Full Stack Engineer (Multiple Levels) We're looking for a Full Stack Engineer to support the ...

OpenReq

Machine Learning Engineer

San Francisco, CA · On-site

As a Machine Learning Engineer, you will shape the technical direction of the company by automating ... Required : • 3 to 5 years of industry experience in full-stack Deep Learning and Computer Vision ...

Eve

Machine Learning Engineer

San Francisco, CA · On-site

You'll own the full stack of applied ML - from data curation to evaluation and production ... Machine Learning Engineer who enjoys building real systems people depend on. You'll likely have ...

iQuasar, LLC

Full Stack Engineer

San Diego, CA · On-site

$125 - $150/hr

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

iQuasar LLC

FULL STACK ENGINEER

San Diego, CA · On-site

$135K - $145K/yr

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

IQUASAR LLC

FULL STACK ENGINEER

San Diego, CA · On-site

$135K - $145K/yr

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

iQuasar LLC

Full Stack Engineer

San Diego, CA · On-site

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

IQUASAR LLC

Full Stack Engineer

San Diego, CA · On-site

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

BigHat

Machine Learning Engineer

San Mateo, CA · On-site

$150 - $200/hr

Machine Learning Engineer Department: DS/ML (Data Science/Machine Learning) Employment Type ... At BigHat Biosciences our full-stack antibody drug development platform uses AI/ML to drive every ...

New

BigHat Biosciences

Machine Learning Engineer

San Mateo, CA · On-site

$150K - $200K/yr

Machine Learning Engineer Department: DS/ML (Data Science/Machine Learning) Employment Type ... At BigHat Biosciences our full-stack antibody drug development platform uses AI/ML to drive every ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $300K/yr

By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Familiarity with data processing stacks such as Spark and Airflow. * Experience with multi-node GPU ...

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Internship Full Stack Machine Learning Engineer information

What is an internship full stack machine learning engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What do internship full stack machine learning engineers do?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What skills and qualifications are needed to thrive as an internship full stack machine learning engineer?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in California?

The most popular types of Full Stack Machine Learning Engineer jobs in California are:

What are popular job titles related to Internship Full Stack Machine Learning Engineer jobs in California?

For Internship Full Stack Machine Learning Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in California look for?

The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in California are:

What cities in California are hiring for Internship Full Stack Machine Learning Engineer jobs?

Cities in California with the most Internship Full Stack Machine Learning Engineer job openings:

Internship Full Stack Machine Learning Engineer jobs near you

Full Stack Engineer

Trabus Technologies

San Diego, CA • On-site

$92K - $185K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Build What’s Next with TRABUS Technologies

We’re growing our San Diego team and currently have several exciting opportunities for talented professionals who want to work on innovative technologies supporting both government and commercial customers. TRABUS works directly with end-users to build machine learning and full stack solutions from the ground up and tackle challenging problems in maintenance planning, maritime traffic analysis, and assessing the impacts of extreme weather events. TRABUS is looking to fill the following positions.


Full Stack Engineer (Multiple Levels)

We’re looking for a Full Stack Engineer to support the development and deployment of applications incorporating AI, data analytics, cloud technologies, and DevOps across diverse mission-focused projects. This is a great opportunity to build out new applications and features while working with Python, Django, React, cloud technologies, APIs, AI, and big data applications.


Data Scientist / Machine Learning Engineer

Join our AI team and help develop machine learning solutions across a variety of real-world applications, including resource planning, transportation, and environmental informatics. Experience with Python and machine learning technologies is key.


Senior UX/UI Engineer & Product Owner

A senior-level opportunity for an experienced UX/UI professional who can combine hands-on design and frontend expertise with product ownership, project management, and cross-functional leadership.


About the Team

We are a tight-knit team of 13 who each contribute to two to three projects at a time. We work hybrid, with two days in the office and three days at home most weeks, and we occasionally travel for on-site design sprints with our customers, which keeps things interesting. We use Agile methodologies and have found them extremely effective in keeping our team aligned and moving fast. As we continue to grow our project portfolio, we are looking for talented individuals who are excited to bring their skills to a collaborative and dynamic team.


Basic Qualifications

  • 2 years of professional software development experience
  • Experience programming in a high-level language such as Python, JavaScript, or Go
  • Experience with Python-based web frameworks such as Fast API, Django or Flask
  • Experience with front-end languages and frameworks such as React, JavaScript, TypeScript, CSS, Bootstrap, or Tailwind
  • Experience with database technologies such as PostgreSQL, MySQL, and NoSQL data stores such as Redis or MongoDB
  • Basic knowledge of automation tools and CI/CD
  • Experience handling git repositories such as GitHub, Gitlab, or BitBucket
  • US citizenship


Preferred Qualifications

  • Bachelor's degree in Computer Science/Engineering/Data Science or other STEM-related discipline.
  • 4+ years of professional software development experience
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of AI and machine learning/deep learning technologies such as TensorFlow, PyTorch, and Keras
  • Strong knowledge of Linux or Unix-like OS
  • Proficiency in MS Office Applications
  • Strong written and oral communication skills
  • Attention to detail, procedural compliance, and the ability to manage multiple duties simultaneously while meeting deadlines
  • Experience working in Agile environments
  • DoD adjudicated secret clearance (not required)


Salary Range (depending on experience level)

  • $92,000 - $185,000


Benefits

  • Paid Time Off
  • Holidays
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Account
  • 401(k)
  • Life AD&D


Interested in learning more? Check out our open positions at www.trabus.com and see where you might fit in!

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