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No Experience Nvidia Machine Learning Jobs in California

Machine Learning Researcher

San Diego, CA · On-site

$159.10 - $238.70/hr

OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. * 6+ months of academic and/or work experience developing and/or optimizing machine learning models ...

OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. • 6+ months of academic and/or work experience developing and/or optimizing machine learning models ...

MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team to develop machine learning models that power investment tools for institutional clients. We are ...

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 ...

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 ...

Research, design, and implement machine learning algorithms to optimize workflow automation ... Experience with modern deep learning models, particularly large language models (LLMs) and ...

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 ...

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 ...

Description We are seeking an experienced Machine Learning Research Engineer to design and apply state-of-the-art research in machine learning for data-centric problems! Your responsibilities will ...

Showing results 41-60

No Experience Nvidia Machine Learning information

What is the difference between No Experience Nvidia Machine Learning vs Data Analyst?

AspectNo Experience Nvidia Machine LearningData Analyst
Required CredentialsBasic understanding of machine learning concepts, no certifications neededDegree in statistics, mathematics, or related field; certifications optional
Work EnvironmentTech companies, AI research labs, or startups focusing on AI/ML projectsBusiness, finance, healthcare, or marketing sectors analyzing data for insights
Employer & Industry UsageUsed in AI/ML development teams, often entry-level roles in tech industryUsed across various industries for data-driven decision making

While No Experience Nvidia Machine Learning roles focus on entry-level understanding of AI and machine learning with minimal credentials, Data Analyst positions emphasize data interpretation skills often requiring a degree. Both roles are prevalent in tech and business sectors, but they serve different functions: AI development versus data insights.

What are the most commonly searched types of Nvidia Machine Learning jobs in California?

The most popular types of Nvidia Machine Learning jobs in California are:

What job categories do people searching No Experience Nvidia Machine Learning jobs in California look for?

The top searched job categories for No Experience Nvidia Machine Learning jobs in California are:

What cities in California are hiring for No Experience Nvidia Machine Learning jobs?

Cities in California with the most No Experience Nvidia Machine Learning job openings:

Infographic showing various No Experience Nvidia Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Machine Learning Researcher

Qualcomm

San Diego, CA • On-site

$159.10 - $238.70/hr

Other

Re-posted 22 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Machine Learning Researcher

General Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next‑generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Researcher, you will conduct fundamental research that creates innovative machine learning methodology that achieves beyond state‑of‑the‑art performance. Qualcomm Engineers collaborate with cross‑functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning research.

Minimum Qualifications
  • Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
  • 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Preferred Qualifications
  • PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
  • 2+ publications at a machine learning conference.
  • 2+ years of experience working in a large matrixed organization.
  • 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
  • 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology.
Principal Duties and Responsibilities
  • Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs).
  • Drives systems innovations for model efficiency advancement on device as well as in the cloud, including auto‑ML methods for the creation and optimization of efficient models (e.g., model compression, quantization, architecture search, and kernel/graph compiler/scheduling).
  • Performs platform research to enable new machine learning compute paradigm (e.g., compute in memory, on‑device learning/training, edge‑cloud distributed/federated learning, and quantum machine learning).
  • Develops and publishes research findings in the form of presentations and conference papers.
  • Conducts research on machine learning and develops innovative or patentable ideas for new solutions.
  • Develops, tests, optimizes, and documents complex new or updated machine learning algorithms, models, and methods that are aligned with research strategies.
Level of Responsibility
  • Works independently with minimal supervision.
  • Decision‑making may affect work beyond immediate work group.
  • Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
  • Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
  • Tasks require multiple steps which can be performed in various orders; some planning, problem‑solving, and prioritization must occur to complete the tasks effectively.
Equal Employment Opportunity

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process.

You may e‑mail disability‑accomodations@qualcomm.com or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Pay Range and Benefits

$159,100.00 - $238,700.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.

Contact

For more information about this role, please contact Qualcomm Careers.

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Benefits

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985