Research 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.

• Showcase the completed project to the engineering and research teams.

• Enhance and refine multiprocessing, async I/O, and threading components within a production distributed training environment.

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

• Make daily contributions to the production codebase.

• Collaborate with the Agora team through code reviews and mentorship initiatives.

• Contribute to Agora, Pluralis Research's production decentralized training platform.

⛳️ Requirements

• Currently enrolled in, or a recent graduate of, a Masters or PhD program in machine learning, computer science, or a related field.

• Proficient in Python and PyTorch.

• Experience in creating concurrent or parallel systems using multiprocessing, async I/O, and threading techniques.

• Hands-on experience with distributed machine learning gained through internships, coursework, or significant projects.

• Familiarity with AWS, GCP, or other hyperscaler platforms.

• A strong belief that Protocol Learning represents a viable third path for collective, trustless, and sovereign AI.

• Professional proficiency in English, both written and spoken.

• Candidates must be based in Australia.

• Outstanding ML publications are welcomed but not mandatory for candidates focused on systems.

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

🏝️ Benefits

• Opportunity to extend the initial 3-month fixed-term internship.

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

• Code review and mentorship from a buddy within the Agora team.