3 дня назад
AI/ML Intern Summer 2027 (AI)
40 - 50$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Intern Summer 2027 (AI) (PyTorch/TensorFlow): Training and evaluating deep learning models and building reusable experimentation workflows with an accent on model diagnostics, statistics, and research-oriented experimentation. Focus on diagnosing convergence and generalization issues, evaluating LLM and generative AI systems, and rapidly prototyping ML research tooling.
Location: San Jose, California; in-office five days a week
Salary: $40–$50 USD per hour
Company
develops data resilience and data security solutions that help organizations secure and manage data and AI systems.
What you will do
- Train and improve machine learning models across diverse datasets and tasks.
- Analyze loss curves, gradients, metrics, and experiments to diagnose model failures and improve performance.
- Work with transformer models, fine-tuning workflows, evaluation systems, and generative AI applications.
- Prototype and iterate rapidly using AI-assisted development workflows.
- Build reusable training, experimentation, and evaluation tooling for ML research.
Requirements
- Must work in the San Jose office five days per week.
- Currently pursuing a Master's degree or PhD in computer science, artificial intelligence, machine learning, statistics, applied mathematics, data science, electrical engineering, or a related quantitative field.
- Strong knowledge of supervised and unsupervised learning, optimization, regularization, model evaluation, deep learning, probability, and statistics.
- Hands-on experience training deep learning models with PyTorch or TensorFlow, including diagnosing convergence, overfitting, gradient, data leakage, and generalization issues.
- Ability to write clean, maintainable, modular code using encapsulation, separation of concerns, and object-oriented design.
- Advanced coursework in areas such as machine learning, deep learning, linear algebra, algorithms, software engineering, NLP, computer vision, or reinforcement learning.
Nice to have
- Experience training, fine-tuning, or evaluating transformer models or LLMs.
- Familiarity with Weights & Biases, MLflow, distributed training, mixed precision, LoRA/QLoRA, or hyperparameter optimization.
- Research experience through paper reproduction, ML competitions, research projects, or advanced personal projects.
- Exposure to NLP, generative AI, multimodal, retrieval, or recommendation systems.
Culture & Benefits
- Ten-week paid internship program running from June through August 2027.
- Onboarding, weekly professional development sessions, networking events, and social activities.
- Paid company holidays during the internship.
- Technology stipend for workspace setup.
- Eight hours of paid volunteer time through the Cares program.
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