Machine Learning Engineer – Intern

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Pluralis Research

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

🌐 Web 3

Artificial Intelligence • Web 3

Pluralis Research is a foundational AI research lab focused on Protocol Learning — decentralized, multi‑participant training of foundation models where no single participant holds a full copy of the model. The group develops methods to enable communication‑efficient model and pipeline parallelism, unextractable collaborative models, and high‑compression context parallelism so community‑trained, community‑owned frontier models can scale over low‑bandwidth, internet‑connected devices. Their work targets practical systems and algorithms that make decentralized training competitive with centralized training while enabling new ownership and economic models.

📋 Description

• Design, build and ship a well-scoped project on the Agora roadmap, with a final presentation to engineering and research teams • Build and improve concurrent and parallel systems components, including multiprocessing, async I/O and threading, within a production distributed training stack • Work hands-on with large-scale training infrastructure across AWS and GCP • Contribute daily to the production codebase through code review, standups and pairing with an Agora team buddy

🎯 Requirements

• Current enrolment in, or recent completion of, a Master's or PhD in machine learning, computer science or a related field • Genuine machine learning background suitable for a research-driven team • Strong Python and PyTorch skills • Experience building concurrent or parallel systems using multiprocessing, async I/O or threading • Hands-on exposure to distributed machine learning through an internship, coursework or serious projects • Experience with AWS, GCP or other hyperscalers • Australia-based • Professional-level English proficiency, written and spoken • C/C++ experience is nice to have • Top-tier ML publications are welcome but not required for systems-focused candidates • Open-source contributions to ML frameworks, distributed systems or networking libraries are nice to have

🏖️ Benefits

• Fixed-term internship with option to extend • Visa sponsorship and relocation support for exceptional candidates in the US and Australia • Opportunity to ship real work from week one • Ownership of a genuine open problem by the end of the internship • Collaboration with a diverse, distributed team