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Machine Learning Software Engineer Intern Jobs in California

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. As a software engineering intern, you ...

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Focus on machine learning and data science. * AI Agents * MCP Servers * Familiarity with Large ...

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$105K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Software Engineer Intern

La Mirada, CA · On-site

$27 - $30/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Software Engineer Intern For over 60 years, IQAir has been a leader in improving indoor air quality in residential, commercial and institutional markets. IQAir's vision is to assist people in living ...

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Machine Learning Engineer II

Palo Alto, CA · On-site

$165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

As a Software Engineering intern at Centerfield, you'll work directly with our Engineering team ... Collaborate with engineering, data engineering, and data science teams to support machine learning ...

As a Software Engineering intern at Centerfield, you'll work directly with our Engineering team ... Collaborate with engineering, data engineering, and data science teams to support machine learning ...

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Focus on machine learning and data science. * AI Agents * MCP Servers * Familiarity with Large ...

... learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion ... Role Overview As a Software Engineer Intern, Backend at Serval, you'll work directly on core parts ...

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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 Engineer Intern

Neuralink

South San Francisco, CA

$35/hr

Internship

Re-posted yesterday


Job description

Team Description:

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents.  In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). 

Job Description and Responsibilities:

We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.

Required Qualifications:

  • Evidence in delivering high-impact projects either in academia or industry
  • Prior experience designing and building Machine Learning models
  • Deep understanding of machine learning concepts and fundamentals
  • Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
  • Excellent communication and collaboration skills
  • Strong coding skills, with a focus on clean, efficient, and scalable code development

Preferred Qualifications:

  • Experience working with time series or unstructured data

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Rate: 
$35/Hr USD