Remote Research Intern: Scalable ML & Distributed Systems

Kubelt; United States; Remote; USD 30,000 - 45,000; Full time

Benefits offered by this job

Competitive salary + equity

Fully remote work

Visa sponsorship available

All-expenses-paid company retreats

Flexible vacation and paid sick leave

Company-sponsored health insurance

Job summary

A leading research organization is looking for a Research Intern to contribute to ground-breaking research in scalable, distributed machine learning systems. This role involves designing modular neural architectures and contributing to joint publications with experienced researchers. Candidates should be enrolled in a PhD program with a strong understanding of deep learning frameworks like PyTorch or TensorFlow. The position is fully remote and offers competitive salary and benefits.

Qualifications

• Experience conducting original research with authorship on ML papers.
• Research experience in distributed systems or modular neural architectures.
• Desire to contribute to open research.

Responsibilities

• Contribute to original research in deep learning.
• Design and prototype novel neural network architectures.
• Contribute to joint publications and projects.

Skills

Deep learning fundamentals

Self-directed

Curiosity

Excellent communication skills

Education

Currently enrolled in a PhD program in Computer Science or related field

Tools

PyTorch

JAX

TensorFlow

Job description

A leading research organization is looking for a Research Intern to contribute to ground-breaking research in scalable, distributed machine learning systems. This role involves designing modular neural architectures and contributing to joint publications with experienced researchers. Candidates should be enrolled in a PhD program with a strong understanding of deep learning frameworks like PyTorch or TensorFlow. The position is fully remote and offers competitive salary and benefits.