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Machine Learning Software Engineer Intern Jobs in California

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent ...

Moffitt

Research Software Engineer

Long Beach, CA · On-site

$215K/yr

Summary The Machine Learning Engineer provides an array of services to support the Department of ... We are looking for a motivated individual to develop open-source software for biomedical data ...

Tenex.AI Inc

Software Engineer Intern

San Jose, CA · On-site

  • Medical

We are seeking a highly motivated and versatile Full Stack Engineer Intern to join our core ... Participate in all aspects of software development activities, including design, coding, code ...

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Machine Learning Software Engineer Intern information

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 are the most commonly searched types of Machine Learning Software Engineer jobs in California?

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

What cities in California are hiring for Machine Learning Software Engineer Intern jobs?

Cities in California with the most Machine Learning Software Engineer Intern job openings:

Machine Learning Software Engineer Intern jobs near you

Senior Machine Learning Software Engineer - Computer Vision

Apple, Inc.

Sunnyvale, CA • On-site

$145K - $192K/yr

Other

Posted 16 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful.
Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection.
Our computer vision and machine learning (CVML) team of researchers and engineers tackle previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in machine learning systems. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily.
Are you prepared to make a lasting impact on the future of technology?
Description
We seek a proactive Senior Machine Learning Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users.
In this role, you will collaborate closely with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models.
Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.
Minimum Qualifications
B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
Strong experience in Python.
Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.
Preferred Qualifications
M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields.
Working experience in C++ or Swift.
Excellent math skills, including linear algebra, computational science and optimization.
Creativity and curiosity for solving highly complex problems.
Excellent communication and collaboration skills.
An interest in incubating ideas and taking them to finish.
Experience with iOS/macOS development.
Experience shipping algorithms or publishing in top tier CVML conferences.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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