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Machine Learning Software Engineer Intern Jobs in Mountain View, CA

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 ...

Who You Are We're looking for innovative and passionate Machine Learning Engineers to join our team ... Good understanding of software development principles, data structures, and algorithms. * Excellent ...

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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 Aug 9, 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?

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 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:

Software Engineer Intern

Tenex.AI Inc

San Jose, CA โ€ข On-site

Full-time

Medical

Re-posted 20 days ago


Job description

Company Overview:
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team that just raised a substantial round - joining now comes with limited risk and unlimited upside.
We're a fast growing startup backed by industry experts and top tier investor Andreessen Horowitz. As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team that just raised a substantial round - joining now comes with limited risk and unlimited upside. We are rapidly growing and seeking top talent to join our mission of revolutionizing the cybersecurity landscape.
We are seeking a highly motivated and versatile Full Stack Engineer Intern to join our core engineering team. We value individuals who are proactive, enjoy problem-solving, and are eager to learn and adapt in a fast-paced environment.
Culture is one of the most important things at TENEX.AI-explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.
About Our Intern Program:
  • Internships are available year round. Our internship opportunity is a 12 week program.
  • Position requires 30 hours per week, Monday through Friday.
  • This is a paid internship, based on a fixed 30-hour workweek, with compensation paid semi-monthly.
  • On-site attendance is required daily in the San Jose office.
  • This internship is not benefits-eligible; health insurance is not provided.
  • Relocation and commuting expenses are not covered by the company.

Job Responsibilities:
  • Design, develop, and deploy scalable and reliable backend services and APIs.
  • Participate in all aspects of software development activities, including design, coding, code review, testing, bug fixing, and code/API documentation.
  • Write clean, well-documented, and testable code.
  • Troubleshoot and debug issues across the full stack.
  • Contribute to the improvement of our development processes and tools.
  • Stay up-to-date with the latest technologies and industry trends.
  • Be proactive in identifying and solving technical challenges.
Required Qualifications:
  • Solid understanding of software engineering principles and best practices.
  • Strong technical background with analytical and problem-solving skills
  • Previous related experience in software engineering (applicable coursework, projects, internships, etc.)
  • Experience with at least one backend programming language such as Go, Python, or an equivalent.
  • Experience with at least one modern frontend framework such as Next.js, TypeScript, React, Vue.js, or an equivalent.
  • Ability to learn new technologies quickly and independently.
  • Excellent verbal and written communication skills; can effectively articulate complex ideas and influence others through well-reasoned explanations.