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Ml Engineer Intern Jobs in San Ramon, CA (NOW HIRING)

... Intern to join their founding team in San Francisco. You'll work directly with the CTO to ship ... Full-stack focus -- not an ML engineer and not overly specialized in a single language (e.g. Python ...

... Intern to join their founding team in San Francisco. You'll work directly with the CTO to ship ... Full-stack focus - not an ML engineer and not overly specialized in a single language (e.g. Python ...

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered ...

Software Engineer, Intern

San Francisco, CA ยท On-site

$100K - $150K/yr

If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. As an engineering intern, you'd play a critical role in lots ...

New

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered ...

Agentic AI Intern

San Francisco, CA ยท Remote

  • Medical

  • Dental

  • Vision

As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high ... How to automate the ML lifecycle from data ingestion through deployment and monitoring Business ...

Agentic AI Intern

San Francisco, CA ยท Remote

  • Medical

  • Dental

  • Vision

As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high ... How to automate the ML lifecycle from data ingestion through deployment and monitoring Business ...

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Ml Engineer Intern information

See San Ramon, CA salary details

$12

$21

$33

How much do ml engineer intern jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ml engineer intern in San Ramon, CA is $21.58, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $23.37 per hour, depending on experience, location, and employer.

What is an ML Engineer Intern?

ML (Machine Learning) Engineer Interns are students or recent graduates who assist in designing, building, and deploying machine learning models under the guidance of experienced professionals. Their responsibilities often include data preprocessing, experimenting with algorithms, evaluating model performance, and collaborating with software engineers and data scientists. ML Engineer Interns gain hands-on experience with programming languages like Python, libraries such as TensorFlow or PyTorch, and tools for data analysis. This role is a valuable opportunity to learn how machine learning solutions are developed and applied in real-world scenarios.

What does an ML Engineer Intern do?

As an ML Engineer Intern, you can expect to work on a variety of projects ranging from data preprocessing and cleaning to building and testing machine learning models under the guidance of senior engineers. Interns often contribute to tasks such as feature engineering, model evaluation, and deploying models into production environments. You may also collaborate with data scientists and software engineers to integrate ML solutions into larger systems or products. This hands-on experience not only helps develop your technical skills but also provides insight into industry-standard workflows and team structures.

What are the key skills and qualifications needed to thrive as an ML Engineer Intern?

To thrive as an ML Engineer Intern, you need a solid foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by coursework or hands-on projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is expected. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and learn quickly in team environments. These skills are important because they enable interns to contribute meaningfully to real ML projects while rapidly acquiring new knowledge and adapting to evolving technologies.

What is the difference between Ml Engineer Intern vs Data Scientist Intern?

AspectML Engineer InternData Scientist Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of machine learning frameworksSimilar educational background; strong statistical and analytical skills; familiarity with data analysis tools
Work EnvironmentFocus on developing and deploying machine learning models, coding in Python, TensorFlow, or PyTorchFocus on analyzing data, creating visualizations, and deriving insights from datasets
Employer & Industry UsageCommon in tech companies, AI startups, and research labsWidely used across tech, finance, healthcare, and consulting firms

Both roles are entry-level internships requiring a background in data-related fields. ML Engineer Interns focus on building and deploying machine learning models, while Data Scientist Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and daily tasks.

What cities near San Ramon, CA are hiring for Ml Engineer Intern jobs?

Cities near San Ramon, CA with the most Ml Engineer Intern job openings:

Founding Engineer Intern

Clera

San Francisco, CA โ€ข On-site

Full-time

Re-posted 24 days ago


Job description

About the Role

A fast-growing, pre-seed AI startup in the talent and recruiting space is looking for a Founding Engineer Intern to join their founding team in San Francisco. You'll work directly with the CTO to ship features daily and help build a fully agentic system that automates headhunting end-to-end. This role puts you at the center of rapid experimentation with real ownership and high-impact outcomes — including time in hacker-house environments in Latin America.

What You'll Do
  • Build and ship features daily alongside the CTO to automate the recruiting process end-to-end.

  • Own full end-to-end development — from ideation to production — for core product features.

  • Collaborate with the founding team to design and ship components of an agentic AI system.

  • Talk to users and measure impact on hiring speed to drive rapid iteration.

  • Thrive in a founder-paced, high-output environment with daily feedback loops.

What We're Looking For

Required:

  • At least 6 months of experience with React and TypeScript in a production environment.

  • Hands-on experience with Cursor, Supabase, Prisma, and Typesense in a production React/TypeScript stack.

  • Full-stack focus — not an ML engineer and not overly specialized in a single language (e.g. Python or C++).

  • Strong ownership mindset with the ability to drive features from ideation to production independently.

  • Currently enrolled in or pursuing a degree in Computer Science, Software Engineering, or a related field.

  • Something outstanding about your profile — top GPA, strong university, impressive projects, or an active GitHub.

  • Experience working in entrepreneurial, fast-paced, scrappy environments.

  • Willingness to work 7 days/week and participate in hacker-house setups in LatAm.

Nice to Have:

  • Portfolio or sample projects demonstrating full-stack development and open-source contributions.

Location

Based in San Francisco, CA. On-site role with hacker-house periods in Latin America. Visa sponsorship is available.