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No Experience Machine Learning Jobs in San Ramon, CA

Experience or strong personal curiosity with designing imaging and sensing systems. Strong independent problem-solving and communication skills. Solid understanding of machine learning, deep learning ...

Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.Experience with Pytorch. MS/PhD in computer vision ...

Hands-on experience with machine learning frameworks and libraries, including TensorFlow, PyTorch ... If this role does not have Colorado listed as a hiring location, no specific application window ...

Real-world experience deploying and maintaining machine learning solutions in production environments. * Passion for clean, sustainable, and modular code to bring research concepts to practical ...

Real-world experience deploying and maintaining machine learning solutions in production environments. Passion for clean, sustainable, and modular code to bring research concepts to practical ...

We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...

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No Experience Machine Learning information

See San Ramon, CA salary details

$15

$25

$34

How much do no experience machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for no experience machine learning in San Ramon, CA is $25.50, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $28.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the No Experience Machine Learning position and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

What are the key skills and qualifications needed to thrive in the No Experience Machine Learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.
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 No Experience Machine Learning jobs in San Ramon, CA look for? The top searched job categories for No Experience Machine Learning jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for No Experience Machine Learning jobs? Cities near San Ramon, CA with the most No Experience Machine Learning job openings:
Infographic showing various No Experience Machine Learning job openings in San Ramon, CA as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $53,046 per year, or $25.5 per hour.
Senior Machine Learning - Avatar, Core AI

Senior Machine Learning - Avatar, Core AI

Roblox

San Mateo, CA

$142.90K - $197K/yr

Other

Posted 22 days ago


Job description

As a Senior Machine Learning Engineer, you will work on challenging problems leveraging state-of-art AI/ML to empower a new generation of Roblox experiences for our growing community of users. We are looking for senior AI/ML engineers to lead the vision of low compute cost, in experience machine learning at Roblox, taking leads on designing core components of on-device ML operations. We are designing a system for advancing model architecture, enabling more efficient deployment to cloud and client, while delivering on complex operations including Generative AI model deployment. The engineer will be driving the architecture optimization across a large range of compute devices, making efficient use of available compute resources. Join us in our exciting journey!

You will:
  • Develop and implement state-of-the-art ML models
  • Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve the model performance
  • Establish a pipeline for delivering Roblox ML model on range of computing devices
  • Build cross-functional partnership on deployment and architecture optimization
  • Design and implement primary components of the in-experience machine learning system.
You have:
    • 2+ years experience in developing machine learning models, preferably in image, video, audio or 3D representations with Python
    • A strong understanding of deep learning frameworks including PyTorch and Tensorflow.
    • Experience in shipping ML features in production environments, including low powered devices.
    • Excellent cross-functional skills, partnering with organization leaders, driving to a conclusion.
    • Knowledge in state-of-the-art deep learning network architectures and primitives.
    • Experience with model optimization techniques.