Pluralis Research

Research Scientist

Pluralis Research

full-time

Posted on:

Location Type: Remote

Location: Australia

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

PyTorch

About the role

  • Publish in Tier-1 Venues: At the core of Protocol Learning are hard research problems. There are foundational papers up for grabs. Solve these problems, and publish.

Requirements

  • Research Excellence: PhD in Machine Learning with publications in top-tier conferences (NeurIPS, ICML, ICLR).
  • Distributed ML Experience: Exposure to distributed training, or federated learning.
  • Implementation Skills: Strong programming abilities in PyTorch, with experience training models across multiple devices.
  • Bonus: Experience with large language models, post training, RL etc.
Benefits
  • Equity-Heavy Package: We offer significant ownership for key technical contributors in addition to high base salary.
  • Visa Sponsorship: Optional full visa sponsorship and relocation support to either US or Australia.
  • Remote-First Culture: Flexible work environment with team members distributed globally.
  • Cutting-Edge Domain: Work at the intersection of AI and distributed systems, tackling some of the most challenging research problems in what is about to be one of the largest intersections of two previously non-overlapping fields ever.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningPyTorchdistributed trainingfederated learninglarge language modelsreinforcement learningmodel training
Soft Skills
research excellence
Certifications
PhD