At a Glance
- Tasks: Build innovative post-training stacks for large models on consumer devices.
- Company: Join Pluralis Research, a leader in decentralised reinforcement learning.
- Benefits: Enjoy remote work flexibility and a collaborative global team.
- Other info: Be part of a dynamic team with exciting growth opportunities.
- Why this job: Make a real impact by inventing algorithms for cutting-edge technology.
- Qualifications: Experience in Python, PyTorch, and reinforcement learning is essential.
The predicted salary is between 123750 - 151250 $ per year.
Pluralis Research seeks a senior RL post-training engineer to build the end-to-end post-training stack for large models that run on consumer devices over the internet.
You will design rollout ingestion, reward computation, and weight synchronization across a geo-distributed setup.
You will invent algorithms for asynchronous, high-latency environments, deliver first decentralized post-trained models, and work with Python and Py Torch in a remote-first, globally distributed team.
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Research Engineer in Canberra employer: Pluralis Research
At Pluralis Research, we pride ourselves on being a remote-first AI startup that fosters a dynamic and innovative work culture. Our Operations Associate role not only provides the opportunity to collaborate closely with our leadership team but also encourages personal and professional growth through exposure to diverse operational projects. With a commitment to leveraging cutting-edge AI tools, we empower our employees to streamline workflows and contribute meaningfully to our mission of building a decentralised AI ecosystem.
