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Machine Learning Intern Jobs in San Ramon, CA (NOW HIRING)

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Machine Learning Intern information

See San Ramon, CA salary details

$28.5K

$47.6K

$98.3K

How much do machine learning intern jobs pay per year?

As of Jun 24, 2026, the average yearly pay for machine learning intern in San Ramon, CA is $47,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,300.00 and $51,400.00 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 San Ramon, CA? The most popular types of Machine Learning jobs in San Ramon, CA are:
What job categories do people searching Machine Learning Intern jobs in San Ramon, CA look for? The top searched job categories for Machine Learning Intern jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Machine Learning Intern jobs? Cities near San Ramon, CA with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in San Ramon, CA as of June 2026, with employment types broken down into 2% Internship, 10% Full Time, and 88% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $47,588 per year, or $22.9 per hour.

Machine Learning Engineer Intern (Computer Vision/Multimodal/Generative AI)

SpreeAI

San Francisco, CA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About the Role
We are hiring Machine Learning Engineers who want to work on frontier problems in vision and generative AI where standard solutions break. You will work across photorealistic virtual try-on, video-based modeling, Smart Sizing, and multimodal representation learning. The work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness. This role sits at the intersection of applied research and engineering execution.
What you'll do
  • Develop and improve multimodal AI systems involving image, video, and generative pipelines.
  • Work on diffusion model optimization, controllability, and step efficiency.
  • Design experiments and evaluation frameworks for visual realism and consistency.
  • Translate research prototypes into scalable production systems.
  • Collaborate closely with infrastructure teams to optimize training and inference.
Qualifications
  • Degree in Computer Science, AI, Robotics, or comparable combination of education and practical experience.
  • Strong programming skills in Python and familiarity with object-oriented languages (C++, Java, or similar).
  • Strong data structures and algorithms fundamentals.
  • Experience with PyTorch or similar frameworks.
  • Familiarity with CNNs, Vision Transformers (ViT), or diffusion architectures.
Preferred Qualifications
  • Experience with Stable Diffusion, ControlNet, LoRA, or generative pipelines.
  • Human pose estimation, geometry-aware modeling, or video understanding.
  • Experience shipping ML systems into production.
Why Join SPREEAI?
  • Real Impact & Ownership: This is an opportunity to shape a product and brand at the forefront of fashion-tech innovation. Your design work will directly impact how thousands (eventually millions) of people experience shopping with SPREEAI - no bureaucratic layers, your ideas can go live and make a difference immediately. You'll own projects that truly matter in the company's growth.
  • Visionary Team & Exposure: Work side-by-side with a passionate founding team and collaborate with industry visionaries. You'll have direct access to our CEO and leadership, and even get to interact with world-class advisors (our board includes an iconic fashion figure). It's a chance to learn from and contribute to the best of both the tech and fashion worlds.
  • Creative Freedom & Innovation: Join a high-growth startup environment that celebrates bold ideas and moves at lightning speed. You'll have the autonomy to introduce new design concepts, test emerging technologies, and innovate without red tape. If you've ever wanted to combine your love of design, luxury fashion, and cutting-edge tech, you'll have the freedom to do it here and see your vision realized.

SPREEAI is a fast-growing, innovative AI company at the forefront of fashion and e-commerce, revolutionizing how consumers engage with fashion through lifelike photorealistic try-on technology and hyper-personalized shopping experiences. Our mission is to redefine the retail landscape with cutting-edge AI solutions that blend high fashion and technology. We thrive in a dynamic, fast-paced environment where creativity meets technology to drive real impact. If you are passionate about innovation and shaping the future of fashion, SPREEAI offers a platform to make your mark.

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