At a Glance
- Tasks: Architect end-to-end post-training stacks and develop algorithms for decentralized AI.
- Company: Join Pluralis Research, a leader in Protocol Learning and decentralized AI.
- Benefits: Flexible remote work, competitive salary, and opportunities for impactful research.
- Other info: Collaborative environment with potential for significant career advancement.
- Why this job: Be at the forefront of AI innovation and contribute to groundbreaking research.
- Qualifications: Strong background in machine learning and experience with high-latency systems.
The predicted salary is between 135000 - 165000 $ per year.
Pluralis Research is pioneering Protocol Learning and invites exceptional ML researchers to join the RL post-training effort.
You will architect end-to-end post-training stacks, from rollout ingestion to weight synchronization, and drive the first decentralized post-trained releases.
You will work on asynchronous, high-latency systems, develop algorithms, and contribute to publication-worthy research while aligning with the mission of Protocol Learning and distributed AI.
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Remote RL Post-Training Engineer 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.
