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Intern Python Trainer Jobs in California (NOW HIRING)

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

... as post-training quantization, quantization-aware training, pruning, and related compression ... Contribute to deployment tools, test pipelines, and runtime modules in C++ and Python for ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

... as post-training quantization, quantization-aware training, pruning, and related compression ... Contribute to deployment tools, test pipelines, and runtime modules in C++ and Python for ...

Fujitsu

Agentic AI Research Intern

Santa Clara, CA · On-site

$40 - $50/hr

Improve agent performance using training data, SFT/RL methods, and test-time verification. * Run ... Strong Python skills; comfortable with git, debugging, unit tests, and Linux/CLI workflows.

Centerfield

Software Engineer Intern

Los Angeles, CA · On-site

Exposure to Node.js, Python, or Java * Familiarity with cloud platforms, particularly AWS or Google ... training). * Paid charity and volunteer days (local mentor programs, adopt a pet, beach cleanup ...

Centerfield

Data Science Intern

Los Angeles, CA · On-site

Solid foundation in Python and familiarity with core data libraries (e.g., pandas, NumPy, scikit ... training). * Paid charity and volunteer days (local mentor programs, adopt a pet, beach cleanup ...

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All JobsIntern Python Trainer JobsIntern Python Trainer Jobs in California

Intern Python Trainer information

What is the difference between Intern Python Trainer vs Python Developer Intern?

AspectIntern Python TrainerPython Developer Intern
Required CredentialsBasic programming knowledge, training or teaching skillsProgramming skills, coding experience, possibly coursework or certifications
Work EnvironmentTraining sessions, workshops, educational settingsDevelopment teams, software projects, coding environments
Employer & Industry UsageEducational institutions, training companies, tech bootcampsTech companies, startups, software development firms
Search & Comparison IntentUnderstanding training roles, entry-level teaching positionsLearning coding, gaining development experience

Intern Python Trainers focus on teaching and training others in Python, often in educational or workshop settings, requiring basic programming and communication skills. Python Developer Interns work on actual coding projects within development teams, emphasizing hands-on programming experience. Both roles are entry-level but serve different career paths within the tech industry.

What are the most commonly searched types of Python Trainer jobs in California? The most popular types of Python Trainer jobs in California are:
What cities in California are hiring for Intern Python Trainer jobs? Cities in California with the most Intern Python Trainer job openings:
Intern Python Trainer jobs near you

AI Intern - VLA Deployment

XPENG

Santa Clara, CA • On-site

Other

Re-posted 5 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
The Mission: Vision-Language-Action (VLA) models and foundation models are becoming increasingly important in autonomous driving, but turning research models into real-time, production-ready systems on vehicle hardware remains a major challenge. We are looking for an entry-level engineer or intern to support the optimization and deployment of multimodal models onto vehicle-grade compute platforms. This role is a strong fit for candidates who are excited about deep learning systems, model deployment, and edge inference for real-world autonomous driving applications.
Key Responsibilities
  • Support model quantization and deployment efforts for large-scale multimodal models, including Transformers and vision-language models.
  • Assist with applying model optimization techniques such as post-training quantization, quantization-aware training, pruning, and related compression methods under guidance from senior engineers.
  • Work with research and platform teams to help improve model deployability and understand hardware and runtime constraints.
  • Contribute to deployment tools, test pipelines, and runtime modules in C++ and Python for autonomous driving systems.
  • Help analyze model performance, memory usage, latency, and numerical accuracy across different deployment targets.
  • Participate in debugging and performance tuning across the model, runtime, and system stack.
  • Support validation and testing workflows to ensure stable and reliable deployment in vehicle and simulation environments.
Basic Qualifications
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Strong programming skills in C++ and/or Python.
  • Familiarity with deep learning frameworks such as PyTorch.
  • Basic understanding of model inference, deployment, or optimization workflows using tools such as ONNX, TensorRT, or similar frameworks.
  • Exposure to model compression or quantization concepts such as INT8, FP16, or related approaches.
  • Interest in computer architecture, performance optimization, and edge or embedded systems.
  • Strong problem-solving skills and the ability to learn quickly in a fast-paced engineering environment.
  • Good communication skills and the ability to collaborate with cross-functional teams.
Preferred Qualifications
  • Internship, research, or project experience in deep learning model deployment, inference acceleration, or embedded AI.
  • Familiarity with Transformers, multimodal models, or foundation models.
  • Experience with CUDA or GPU programming.
  • Exposure to autonomous driving, robotics, or real-time systems.
  • Contributions to research projects, open-source repositories, or relevant course projects.
What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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