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Machine Learning Intern Jobs in Dublin, CA (NOW HIRING)

Stackruit Ltd.

Machine Learning

San Francisco, CA · On-site

$200 - $250/hr

First Machine Learning Engineer (US Remote - $200k-$250k) Do you dream of using machine learning to empower businesses to take action on their data? Join a mission-driven company! About Us * We're ...

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Machine Learning Intern information

See Dublin, CA salary details

$28.7K

$48K

$99.1K

How much do machine learning intern jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning intern in Dublin, CA is $47,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,600.00 and $51,800.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

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Machine Learning Intern jobs near you

Machine Learning

Stackruit Ltd.

San Francisco, CA • On-site

$200 - $250/hr

Other

Posted 3 days ago

New

Job description

Be an AI Rockstar! First Machine Learning Engineer (US Remote – $200k-$250k)

Do you dream of using machine learning to empower businesses to take action on their data? Join a mission-driven company!

About Us
  • We’re building a revolutionary Reverse ETL platform that helps businesses seamlessly use their data.
  • Our platform empowers business users to automate actions and make data-driven decisions without coding.
  • We offer a collaborative and supportive environment with a focus on growth and innovation.
  • We value strong communication, a growth mindset, and a passion for achieving goals.
The Opportunity
  • Be the first Machine Learning Engineer on our team, building an intelligence layer for our platform.
  • You’ll leverage machine learning to help companies personalize messages, automate experiments, predict customer behavior, and generate content.
  • This is a remote role with a competitive salary, equity, and the chance to make a real impact.
You’re a Great Fit If You Have:
  • Machine learning expertise in areas like personalization, recommendation systems, experimentation, and content generation.
  • Experience building and deploying production machine learning models. Strong communication and collaboration skills.
  • A passion for learning and growing your skills.
Why This Remote Job is for You:
  • Work on cutting-edge machine learning projects that empower businesses.
  • Make a real impact on a product used by hundreds of companies.
  • Join a supportive and mission-driven team with a focus on growth.
  • Enjoy the flexibility and freedom of remote work.
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