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

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA

$216K - $324K/yr

Description We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA

$216K - $324K/yr

Description We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Sunnyvale, CA

Machine Learning Intern information

See Sunnyvale, CA salary details

$29.9K

$50K

$103.3K

How much do machine learning intern jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning intern in Sunnyvale, CA is $49,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $54,000.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Sunnyvale, CA? The most popular types of Machine Learning jobs in Sunnyvale, CA are:
What are popular job titles related to Machine Learning Intern jobs in Sunnyvale, CA? For Machine Learning Intern jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Sunnyvale, CA look for? The top searched job categories for Machine Learning Intern jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Machine Learning Intern jobs? Cities near Sunnyvale, CA with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Sunnyvale, CA as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $50,662 per year, or $24.4 per hour.

AI/Machine Learning Engineer

BeeGenius

Sunnyvale, CA • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems.
Responsibilities:
• Design and develop machine learning models and algorithms
• Train and evaluate models using large datasets
• Optimize and fine-tune models for performance and accuracy
• Collaborate with data scientists and software engineers to integrate models into production systems
• Stay updated with the latest advancements in AI and machine learning
• Ensure the ethical use of AI technologies
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Data Science, or a related field
• Strong programming skills in Python or R
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Knowledge of statistical analysis and data visualization techniques
• Understanding of deep learning architectures and algorithms
• Excellent problem-solving and critical-thinking skills
Company:
We are a leading technology, digital, and outsourcing services company. Founded in 2014, the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.

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