ML Engineer Intern, AI Platform

Corvic; Mountain View (CA); Vor Ort; USD 120.000 - 150.000; Vollzeit

Zusammenfassung

A tech company specializing in AI is looking for a summer intern in Mountain View to assist their AI team. Responsibilities include developing machine learning models, building data processing pipelines, and collaborating on multimodal reasoning projects. Ideal candidates are pursuing a Bachelor's or Master's degree in Computer Science or a related field and have experience with ML frameworks like PyTorch or TensorFlow. The annualized salary is between $120K and $150K.

Qualifikationen

• Pursuing Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.
• Coursework or projects in machine learning, NLP, or data science.
• Familiarity with ML frameworks like PyTorch or TensorFlow.

Aufgaben

• Assist in developing and evaluating ML models for enterprise use cases.
• Help build data processing and feature engineering pipelines.
• Contribute to benchmarking and evaluation of AI systems.
• Collaborate with researchers on novel approaches to multimodal reasoning.

Kenntnisse

Machine learning

Data processing

Feature engineering

Collaboration

Ausbildung

Bachelor's or Master's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Jobbeschreibung

Mountain View, CA Summer 2026 Internship $120K – $150K annualized

Join Corvic's AI team for a summer internship working on cutting-edge machine learning systems. You'll contribute to building the intelligence layer that powers enterprise AI applications — from multimodal embeddings to adaptive orchestration.

Responsibilities

• Assist in developing and evaluating ML models for enterprise use cases
• Help build data processing and feature engineering pipelines
• Contribute to benchmarking and evaluation of AI systems
• Collaborate with researchers on novel approaches to multimodal reasoning

Required Qualifications

• Pursuing Bachelor's or Master's degree in Computer Science, Machine Learning, or related field
• Coursework or projects in machine learning, NLP, or data science
• Familiarity with ML frameworks (PyTorch or TensorFlow)

Nice to Have

• Experience with LLMs or embedding models
• Published research or conference papers
• Kaggle competitions or open-source ML contributions
• Interest in graph-based machine learning