Frontier AI Applied Researcher

Prime Intellect, Inc.

New York (NY)

Remote

USD 150,000 - 300,000

Full time

2 days ago
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Benefits offered by this job

Cash Compensation Range of $150-300k +
Equity incentives
Flexible Work (SF, NY, London, or rem)
Visa Sponsorship & relocation support
Professional Development budget
Team Off-sites & conference attendance

Job summary

Prime Intellect, Inc. is building open frontier AI infrastructure and a full-stack platform for post-training at frontier scale, from SFT and RL to tool use and agent workflows. The role focuses on continual learning systems, evaluating long-horizon tasks, and deploying measurable research into production.

You will work externally with customers and partners, owning experiments that push model performance and general capabilities while maintaining a strong research agenda.

Qualifications

  • Relevant experience in continual or online learning, RL, meta-learning, memory systems, post-training data loops, adaptive production ML, or evaluation under changing distributions.

Responsibilities

  • Turn workflows into tasks, environments, evaluations, and reward signals for post-training experiments.
  • Compare streaming RL, batched post-training, and distillation; determine where improvements belong (model weights, memory, prompts, or subagent state).
  • Build task-generation and training pipelines with reproducible data and harness versions.

Skills

Continual learning
Reinforcement learning
Meta-learning
Memory systems
Post-training data loops
Adaptive production ML
Evaluation under changing dist.
Python
Experimental judgment

Tools

Python

Job description

Prime Intellect, Inc. is building open frontier AI infrastructure and a full-stack platform for post-training at frontier scale, from SFT and RL to tool use and agent workflows. The role focuses on continual learning systems, evaluating long-horizon tasks, and deploying measurable research into production.

You will work externally with customers and partners, owning experiments that push model performance and general capabilities while maintaining a strong research agenda.

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