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No Experience Nvidia Machine Learning Jobs in California

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

Orchard

Machine Learning Engineer

San Francisco, CA · On-site

The Machine Learning Engineer will develop solutions for machine learning and computer vision ... NVIDIA Jetson. • Experience prototyping, evaluating, or deploying new ML/CV models on the edge.

PROPRIUS

Machine Learning Engineer

San Francisco, CA · On-site

No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San ... Experience with Python * Computer Vision or NLP experience * Experience debugging complex systems ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience in other programming languages (eg. Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience ...

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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.

How to get into Nvidia machine learning with no experience?

To pursue a machine learning role at Nvidia with no experience, focus on building foundational skills in programming (Python), understanding machine learning concepts, and gaining experience with frameworks like TensorFlow or PyTorch. Completing online courses, working on personal projects, and earning relevant certifications can help demonstrate your abilities to employers.

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

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No Experience Nvidia Machine Learning jobs near you
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, 18% Part Time, 2% Temporary, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 2026

Nvidia

Santa Clara, CA

Full-time

Re-posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA is searching for an outstanding research scientist to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. Everything that moves will eventually be autonomous. Our mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world.

You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. One of our team's most recent milestones includes Project GR00T, a foundation model for humanoid robots. Your contributions will have a significant impact on our moonshot research projects and product roadmaps.

What you'll be doing:

  • Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents;

  • Develop large-scale AI training and inference methods for foundation models;

  • Optimize and deploy AI models in physical simulation and on robot hardware;

  • Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.

What we need to see:

  • Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience.

  • Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python or C++ is required; CUDA or ROS proficiencies are a plus;

  • Excellent knowledge and hands-on experience for training LLMs, multimodal foundation models, or large generative models.

  • Experience in foundation and diffusion models, reinforcement learning, agent learning, and applied robotics

  • Experience across one or both of these fields:

Multimodal Foundation Models

  • Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; Action-based transformers.

  • Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.

Robotics

  • Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc.

  • Deep understanding of robot kinematics, dynamics, and sensors;

  • Ability to safely operate robot hardware, lab equipment, and tools;

  • Knowledge of control methods, including PID, model predictive control, and whole-body control;

  • Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim;

  • Robot hardware design and hands-on building experience.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and embodied agents!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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