... in machine learning work streams including but not limited to semantic segmentation, object detection and classification. • Work closely with Client and data engineers in end-to-end machine ...
... in machine learning work streams including but not limited to semantic segmentation, object detection and classification. • Work closely with Client and data engineers in end-to-end machine ...
Machine Learning Engineer
San Francisco, CA · Remote
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing ...
Quick apply
Machine Learning Engineer
San Francisco, CA · Remote
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing ...
This job We're looking for a machine learning engineers who can work on large-scale image and video models training experiments.. Some stuff you can do: * Train foundation diffusion models for image ...
This job We're looking for a machine learning engineers who can work on large-scale image and video models training experiments.. Some stuff you can do: * Train foundation diffusion models for image ...
Machine Learning Engineer Intern (Lead Ads) - 2026 Summer (BS/MS)
San Jose, CA · On-site
$45 - $60/hr
... machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
Machine Learning Engineer Intern (Lead Ads) - 2026 Summer (BS/MS)
San Jose, CA · On-site
$45 - $60/hr
... machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
Machine Learning Engineer (Remote)
South San Francisco, CA · On-site +1
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Machine Learning Engineer (Remote)
South San Francisco, CA · On-site +1
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Fremont, CA · On-site
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Lead Machine Learning Engineer
San Francisco, CA · On-site +1
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Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...
About the role We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production. UnifyID is building a ...
Quick apply
About the role We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production. UnifyID is building a ...
About the role We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production. UnifyID is building a ...
About the role We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production. UnifyID is building a ...
They are seeking a Machine Learning Engineer to train and deploy critical models for their core product, focusing on interpreting unstructured data and improving model performance. Responsibilities ...
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About the role We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production. UnifyID is building a ...
About the role We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production. UnifyID is building a ...
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...
Machine Learning Engineer
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Machine Learning Engineer
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$200K - $400K/yr
About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...
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Senior Machine Learning Engineer
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Senior Machine Learning Engineer
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Ursus, Inc. is seeking a highly skilled Machine Learning Engineer to join their factory software machine learning and computer vision team. The role involves designing, developing, and deploying ...
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San Jose, CA · On-site
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... Computer Engineering, or other relevant majors • Excellent programming, debugging, and ... Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale ...
... Computer Engineering, or other relevant majors • Excellent programming, debugging, and ... Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale ...
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San Francisco, CA · On-site
$200K - $400K/yr
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Machine Learning Engineer
San Francisco, CA · On-site
$200K - $400K/yr
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We are seeking an experienced machine learning engineer to help bring the next generation of core machine translation (MT) technology and large language model (LLM) technologies into the hands of ...
We are seeking an experienced machine learning engineer to help bring the next generation of core machine translation (MT) technology and large language model (LLM) technologies into the hands of ...
Machine Learning Engineer Intern information
See San Ramon, CA salary details
$28.5K - $34.8K
5% of jobs
$37K is the 25th percentile. Wages below this are outliers.
$34.8K - $41.2K
59% of jobs
$41.2K - $47.5K
9% of jobs
$48K is the 75th percentile. Wages above this are outliers.
$47.5K - $53.9K
17% of jobs
$53.9K - $60.2K
4% of jobs
$60.2K - $66.6K
2% of jobs
$66.6K - $72.9K
3% of jobs
$72.9K - $79.3K
0% of jobs
$79.3K - $85.6K
0% of jobs
$85.6K - $92K
0% of jobs
$92K - $98.3K
0% of jobs
$28.5K
$47.6K
$98.3K
How much do machine learning engineer intern jobs pay per year?
As of May 31, 2026, the average yearly pay for machine learning engineer 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 is a Machine Learning Engineer Intern job?
A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.
What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?
To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.
What types of projects and tasks do Machine Learning Engineer Interns typically work on?
Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.
More about Machine Learning Engineer Intern jobs
What are the most commonly searched types of Machine Learning Engineer jobs in San Ramon, CA? The most popular types of Machine Learning Engineer jobs in San Ramon, CA are:
What job categories do people searching Machine Learning Engineer Intern jobs in San Ramon, CA look for? The top searched job categories for Machine Learning Engineer Intern jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Machine Learning Engineer Intern jobs? Cities near San Ramon, CA with the most Machine Learning Engineer Intern job openings:
Full-time
Posted 8 days ago
Job description
Job ID: 21-13833
Responsibilities
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
• MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Optional but preferred qualifications:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
* This position is remote
Responsibilities
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
• MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Optional but preferred qualifications:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
* This position is remote
About Intelliswift
Sourced by ZipRecruiter
Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.
Industry
It services
Company size
1,001 - 5,000 Employees
Headquarters location
Newark, CA, US
Year founded
2001