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

Advantest

AI Automation Engineering Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

About the Role We are looking for a motivated and technically curious intern to join our Silicon ... Demonstrated interest in or hands-on experience with AI/ML tools, LLMs, prompt engineering, or AI ...

Advantest

AI Automation Engineering Intern

San Jose, CA

$19.75 - $25.50/hr

About the Role We are looking for a motivated and technically curious intern to join our Silicon ... Demonstrated interest in or hands-on experience with AI/ML tools, LLMs, prompt engineering, or AI ...

Etched

Supercomputing Intern

San Jose, CA · On-site

... engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Our supercomputing role focuses on the design, development, and deployment of ML ...

Etched

Supercomputing Intern

San Jose, CA · On-site

... engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Our supercomputing role focuses on the design, development, and deployment of ML ...

Mechanize

Software Engineering Intern

San Bruno, CA

No prior ML or AI experience required Probably not a good fit if you: * Want a product engineering role building features for end users * Prefer a highly collaborative team environment with shared ...

Mechanize

Software Engineering Intern

Oakland, CA

No prior ML or AI experience required Probably not a good fit if you: * Want a product engineering role building features for end users * Prefer a highly collaborative team environment with shared ...

Mechanize

Software Engineering Intern

Alameda, CA

$100/hr

No prior ML or AI experience required Probably not a good fit if you: * Want a product engineering role building features for end users * Prefer a highly collaborative team environment with shared ...

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All JobsMl Engineer Intern JobsMl Engineer Intern Jobs in San Ramon, CA

Ml Engineer Intern information

See San Ramon, CA salary details

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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:

Ml Engineer Intern jobs near you

Software Engineer Intern (Winter 2027)

Notion Labs, Inc

San Francisco, CA • On-site

Internship

Posted 2 days ago

New

Job description

Who We Are
Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work.
This internship will take place from January 25 - April 16 and you will need to be able to work out of our NY or SF office during this time.
About The Role:
  • Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
  • Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact-good and bad.
  • Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
  • Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
  • Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.

What You'll Achieve:
  • Write clean, secure, tested, and documented code.
  • Design & enhance the Notion product with new capabilities with an AI first mindset
  • Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling.

Qualifications:
  • Pursuing a bachelor's or master's degree in computer science, engineering, or another related field. Must graduate before December 2027.
  • This internship will take place from January 25 - April 16 and you will need to be able to work out of our NY or SF office during this time.
  • Previous internship experience.
  • Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python.
  • You find large challenges exciting and enjoy discovering problems as much as solving them.
  • You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.

Skills You'll Need To Bring:
  • Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
  • Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact-good and bad.
  • Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
  • Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
  • Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
  • AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more

Nice to Haves:
  • You have expertise with specific technologies that are part of our stack, including Typescript, React, Python.
  • You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others-and understand why we're big fans of their work.
  • You have interests outside of technology, such as in art, history, or social sciences.

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master's.
#LI-Onsite
A Note on AI
You don't need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement - when that's the case, we'll say so explicitly in the qualifications. People who thrive here don't treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
Equal Opportunity & Accommodations
We hire talented people from a wide range of backgrounds. If you're excited about this role but don't meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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