Machine Learning Engineer
Sunnyvale, CA · On-site
... machine learning models, with a strong understanding of data and model quality Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch ...
Machine Learning Engineer
Sunnyvale, CA · On-site
... machine learning models, with a strong understanding of data and model quality Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch ...
Machine Learning Engineer
San Francisco, CA · On-site
$225K - $300K/yr
Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...
Machine Learning Engineer
San Francisco, CA · On-site
$225K - $300K/yr
Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...
Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...
Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of key technologies and ...
They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of key technologies and ...
The Machine Learning Engineer will play a central role in building the core technology for training, evaluating, and deploying interpretable frontier AI systems, contributing to tools, infrastructure ...
The Machine Learning Engineer will play a central role in building the core technology for training, evaluating, and deploying interpretable frontier AI systems, contributing to tools, infrastructure ...
They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...
They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The Machine Learning Engineer will be responsible for developing and implementing innovative machine learning models, collaborating with cross-functional teams to deploy scalable solutions that drive ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The Machine Learning Engineer will be responsible for developing and implementing innovative machine learning models, collaborating with cross-functional teams to deploy scalable solutions that drive ...
Machine Learning Engineer
$216K - $324K/yr
... machine learning models, with a strong understanding of data and model quality Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch ...
Machine Learning Engineer
$216K - $324K/yr
... machine learning models, with a strong understanding of data and model quality Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch ...
They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...
They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...
The Opportunity Adobe is looking for Machine Learning Engineer interns to work on some of the most impactful AI systems in the industry - from generative AI features and intelligent agents to search ...
The Opportunity Adobe is looking for Machine Learning Engineer interns to work on some of the most impactful AI systems in the industry - from generative AI features and intelligent agents to search ...
They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...
They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...
We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...
We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150.40 - $277.60/hr
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150.40 - $277.60/hr
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
As a Machine Learning Engineer, you will develop and implement innovative machine learning models, collaborate with cross-functional teams, and contribute to MBZUAI's mission of driving impactful AI ...
Machine Learning Engineer
Sunnyvale, CA · On-site
As a Machine Learning Engineer, you will develop and implement innovative machine learning models, collaborate with cross-functional teams, and contribute to MBZUAI's mission of driving impactful AI ...
The Opportunity Adobe is looking for Machine Learning Engineer interns to work on some of the most impactful AI systems in the industry - from generative AI features and intelligent agents to search ...
The Opportunity Adobe is looking for Machine Learning Engineer interns to work on some of the most impactful AI systems in the industry - from generative AI features and intelligent agents to search ...
We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...
We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...
2027 Intern - Machine Learning Engineer
San Jose, CA · On-site +1
The Opportunity Adobe is looking for Machine Learning Engineer interns to work on some of the most impactful AI systems in the industry - from generative AI features and intelligent agents to search ...
2027 Intern - Machine Learning Engineer
San Jose, CA · On-site +1
The Opportunity Adobe is looking for Machine Learning Engineer interns to work on some of the most impactful AI systems in the industry - from generative AI features and intelligent agents to search ...
The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...
The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...
Machine Learning Engineer Intern information
See Fremont, CA salary details
$27.9K - $34.1K
5% of jobs
$36.2K is the 25th percentile. Wages below this are outliers.
$34.1K - $40.4K
59% of jobs
$40.4K - $46.6K
9% of jobs
$47.1K is the 75th percentile. Wages above this are outliers.
$46.6K - $52.8K
17% of jobs
$52.8K - $59K
4% of jobs
$59K - $65.2K
2% of jobs
$65.2K - $71.5K
3% of jobs
$71.5K - $77.7K
0% of jobs
$77.7K - $83.9K
0% of jobs
$83.9K - $90.1K
0% of jobs
$90.1K - $96.3K
0% of jobs
$27.9K
$46.6K
$96.3K
How much do machine learning engineer intern jobs pay per year?
As of Sep 7, 2026, the average yearly pay for machine learning engineer intern in Fremont, CA is $46,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,400.00 per year, depending on experience, location, and employer.
What is a machine learning engineer intern?
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 do machine learning engineer interns do?
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.
What skills and qualifications are needed to thrive as a machine learning engineer intern?
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 are the most commonly searched types of Machine Learning Engineer jobs in Fremont, CA?
The most popular types of Machine Learning Engineer jobs in Fremont, CA are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Fremont, CA?
For Machine Learning Engineer Intern jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Fremont, CA look for?
The top searched job categories for Machine Learning Engineer Intern jobs in Fremont, CA are:
- Junior Machine Learning
- Senior Staff Machine Learning Engineer
- Reinforcement Learning Engineer
- Flexible Machine Learning
- Contract Google Machine Learning Engineer
- Artificial Intelligence Machine Learning Engineer
- Sr Machine Learning Engineer
- Machine Learning Engineer Two
- Weekend Machine Learning
- Machine Learning Manager
What cities near Fremont, CA are hiring for Machine Learning Engineer Intern jobs?
Cities near Fremont, CA with the most Machine Learning Engineer Intern job openings:
Apple rating
8.1
Based on 683 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Do you want to make Siri and Apple products more intelligent for our users? The Machine Learning Platform Technology team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning. Our infrastructure and research for data curation form the backbone of Apple Intelligence. It powers the largest Apple foundation models on servers and a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware.
As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at the scale of Apple.
Description
We design, build, and maintain large-scale ML systems that make petabytes of data easy to process and query while upholding Apple's rigorous privacy standards, for training the next generation of Apple Foundation Models.
Minimum Qualifications
4+ years of experience with large language models (LLMs), large multimodal models (LMMs), computer vision, or related AI/ML technologies
Experience developing and evaluating machine learning models, with a strong understanding of data and model quality
Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch, TensorFlow, or JAX
Experience building large-scale machine learning systems and working with distributed data processing frameworks
Strong problem-solving skills with a results-oriented mindset
Experience leading rapid prototyping and proof-of-concept development for AI/ML applications
Excellent communication skills, with the ability to work independently and collaborate effectively with cross-functional teams
Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent industry experience
Preferred Qualifications
Experience developing or advancing state-of-the-art LLMs and/or LMMs
Experience with modern deep learning architectures, including Transformers, mixture-of-experts (MoE), and multimodal models
Experience deploying and scaling machine learning and deep learning models, including VLMs, for production-scale inference
Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ICCV, AAAI, KDD) and/or demonstrated significant industry impact in AI
Do you want to make Siri and Apple products more intelligent for our users? The Machine Learning Platform Technology team is building groundbreaking technology for search, natural language processing, artificial intelligence and machine learning. Our infrastructure and research for data curation form the backbone of Apple Intelligence. It powers the largest Apple foundation models on servers and a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware.
As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at the scale of Apple.
Description
We design, build, and maintain large-scale ML systems that make petabytes of data easy to process and query while upholding Apple's rigorous privacy standards, for training the next generation of Apple Foundation Models.
Minimum Qualifications
4+ years of experience with large language models (LLMs), large multimodal models (LMMs), computer vision, or related AI/ML technologies
Experience developing and evaluating machine learning models, with a strong understanding of data and model quality
Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch, TensorFlow, or JAX
Experience building large-scale machine learning systems and working with distributed data processing frameworks
Strong problem-solving skills with a results-oriented mindset
Experience leading rapid prototyping and proof-of-concept development for AI/ML applications
Excellent communication skills, with the ability to work independently and collaborate effectively with cross-functional teams
Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent industry experience
Preferred Qualifications
Experience developing or advancing state-of-the-art LLMs and/or LMMs
Experience with modern deep learning architectures, including Transformers, mixture-of-experts (MoE), and multimodal models
Experience deploying and scaling machine learning and deep learning models, including VLMs, for production-scale inference
Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ICCV, AAAI, KDD) and/or demonstrated significant industry impact in AI
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976