Remote ML Research Intern - Distributed Systems & DL

Feedinkoo; United States; Remote; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salary + share of equity

Fully remote work

Visa sponsorship

Paid sick leave and flexible vacation

Health, vision, and dental insurance

Job summary

Feedinkoo is looking for researchers to contribute to cutting-edge work in scalable, distributed machine learning systems. The ideal candidates will be currently enrolled in a PhD program in Computer Science or Machine Learning.

Responsibilities include contributing to original research, designing novel architectures for decentralized systems, and collaborating with leading researchers. We offer competitive salary, equity, and fully remote work options for team members in the US.

Qualifications

• Currently enrolled in a PhD or Master's program in Computer Science or Machine Learning.
• Prior research experience with authorship or co-authorship on ML papers is essential.
• Ability to thrive in a self-directed and curious environment.

Responsibilities

• Contribute to original research in deep learning.
• Design novel neural network architectures for decentralized environments.
• Collaborate on publications with academic and industry researchers.

Skills

Deep learning fundamentals

PyTorch

JAX

TensorFlow

Research collaboration

Excellent communication skills

Education

PhD in Computer Science or Machine Learning

Master’s program in related field (preferred)

Job description

Feedinkoo is looking for researchers to contribute to cutting-edge work in scalable, distributed machine learning systems. The ideal candidates will be currently enrolled in a PhD program in Computer Science or Machine Learning.

Responsibilities include contributing to original research, designing novel architectures for decentralized systems, and collaborating with leading researchers. We offer competitive salary, equity, and fully remote work options for team members in the US.