Machine Learning Engineer – Intern

This is a fully remote position, open to applicants in Australia.

📋 Description

• Design, develop, and deliver a well-defined project on the Agora roadmap, culminating in a presentation to engineering and research teams.

• Enhance and refine components of concurrent and parallel systems, including multiprocessing, async I/O, and threading, within a production distributed training framework.

• Engage directly with large-scale training infrastructure on AWS and GCP.

• Actively contribute to the production codebase through code reviews, daily standups, and collaborating with an Agora team partner.

⛳️ Requirements

• Currently enrolled in, or recently graduated from, a Master's or PhD program in machine learning, computer science, or a related discipline.

• A solid foundation in machine learning that aligns with the needs of a research-oriented team.

• Proficiency in Python and PyTorch.

• Experience in developing concurrent or parallel systems utilizing multiprocessing, async I/O, or threading.

• Practical experience with distributed machine learning acquired through internships, academic coursework, or substantial projects.

• Familiarity with AWS, GCP, or other cloud service providers.

• Based in Australia.

• Proficient in English at a professional level, both written and spoken.

• Experience in C/C++ is a plus.

• High-quality publications in machine learning are appreciated but not mandatory for candidates focused on systems.

• Contributions to open-source ML frameworks, distributed systems, or networking libraries are advantageous.

🏝️ Benefits

• A fixed-term internship with the possibility of extension.

• Visa sponsorship and relocation assistance for outstanding candidates from the US and Australia.

• Opportunity to deliver real work starting from the first week.

• Ownership of a significant open problem by the conclusion of the internship.

• Collaboration with a diverse, globally distributed team.