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Intern Python Trainer Jobs in California (NOW HIRING)

Designing, building, training, and evaluating machine learning models that support circuit design ... Strong programming skills in Python with experience in scripting and automation. * familiarity with ...

Designing, building, training, and evaluating machine learning models that support circuit design ... Strong programming skills in Python with experience in scripting and automation. * familiarity with ...

Research: Research and evaluate new model development and training techniques. Determine ... Python programming experience. * Strong strategic thinking and analytical skills. * Excellent ...

... with training and implementation. Knowledge & Data Management * Build and maintain AI learning ... Experience or coursework in Python, workflow automation, or dashboard design a plus. * Highly ...

Actively engage in learning opportunities, training sessions, and mentorship * Seek feedback and ... Experience doing analysis in Excel, R, python or GraphPad highly valued. * Ability to manage ...

... 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 ...

... 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 ...

Basic programming experience in Java or Python * Working knowledge VS Code or similar IDE, and ... This commitment is honored when it comes to decisions on hiring, recruiting, training, promotions ...

Familiarity with scripting in Python, Tcl, or another language * Are able to learn quickly about ... Larger and larger training runs encourage companies to consolidate around fewer model architectures ...

Familiarity with scripting in Python, Tcl, or another language * Are able to learn quickly about ... Larger and larger training runs encourage companies to consolidate around fewer model architectures ...

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.

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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:

ML Software Engineer Intern

SkyGig

San Jose, CA • On-site

Full-time

Posted 3 days ago


Job description

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new hardware innovations forward.
We are looking for motivated problem solvers with strong machine learning and software development skills, with an interest in applying AI to complex technical challenges at the intersection of software and hardware design. Join our collaborative and innovative team as we work to transform the future of circuit design.
Responsibilities
As our ML software engineer your primary responsibilities will include:
  • Designing, building, training, and evaluating machine learning models that support circuit design workflows.
  • Developing models for circuit performance prediction, design-space optimization, and simulation acceleration.
  • Building data pipelines and model-training workflows using simulation results, measurement data, circuit parameters, and design constraints.
  • Working with a cross-functional team to understand model requirements and translate engineering needs into ML solutions.
  • Preparing technical documentation and reports.
  • Participating in design reviews, brainstorming sessions, and technical discussions.

We are considering full-time/ part-time applicants for Summer and Fall 2026.
The ideal candidate will have strong technical competency, curiosity, and the ability to take ownership of a well-defined project. They should also be excited to adapt, learn quickly, and grow in a fast-paced startup environment.
Requirements
Minimum Requirements:
  • Currently pursuing a degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field.
  • Strong programming skills in Python with experience in scripting and automation.
  • familiarity with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Understanding of software engineering principles, code organization, and collaborative development practices.
  • Experience with data processing libraries such as pandas, NumPy, and SciPy.
  • Understanding of methods for evaluating, validating, and improving AI/ML model performance in real-world applications.
  • Strong collaboration and communication skills.

Benefits
  • Paid, full-time, onsite internship at our Bay Area, CA location with competitive salary
  • Opportunity to work with a collaborative and ambitious team developing disruptive products.
  • Opportunities for growth, leadership, and project ownership in a dynamic startup environment.