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Machine Learning Software Engineer Intern Jobs in Mountain View, CA

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 ...

S and 7+ years of experience in software engineering, computer vision, machine learning or related fields. Strong experience in Python. Working experience in C++ or Swift. Foundational understanding ...

S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.Strong experience in Python.Working experience in C++ or Swift.Foundational understanding of ...

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build ... We are looking for motivated problem solvers with strong machine learning and software development ...

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 ...

AI Software Engineer Intern San Jose, Hybrid At Nirmata, our mission is to accelerate adoption of ... Focus on machine learning and data science. * AI Agents * MCP Servers * Familiarity with Large ...

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built ... Python Programming: Strong proficiency in Python for machine learning workflows, scripting, and ...

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

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 ...

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Machine Learning Software Engineer Intern information

See Mountain View, CA salary details

$15

$29

$45

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

As of Jun 19, 2026, the average hourly pay for machine learning software engineer intern in Mountain View, CA is $29.98, according to ZipRecruiter salary data. Most workers in this role earn between $24.38 and $34.04 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, and why are they important?

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 types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
What cities near Mountain View, CA are hiring for Machine Learning Software Engineer Intern jobs? Cities near Mountain View, CA with the most Machine Learning Software Engineer Intern job openings:
Machine Learning Engineer Intern

Machine Learning Engineer Intern

Neuralink

South San Francisco, CA

$35/hr

Other

Posted 4 days ago


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